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Dr Jitendra Jonnagaddala

Dr Jitendra Jonnagaddala

Senior Research Fellow
Medicine & Health
Discipline of General Practice

Research Interests:
Electronic Health Records, Common Data Models, Clinical Prediction Models, Digital Disease Detection, Artificial Intelligence

Society Memberships & Professional Activities:

  • Australasian College of Health Informatics (ACHI)
  • The International Academy of Health Sciences Informatics (IAHSI)
  • Observational Health Data Sciences and Informatics (OHDSI)
  • Australasian Association for Academic Primary Care(AAAPC)
  • RACGP Practice based research networks (RACGP PBRNs)

 

Specific Research Keywords:
EHR, Digital Health, health informatics, health data science, predictive modeling, outbreak detection, risk assessment, data anonymization
E-mail
jitendra.jonnagaddala@unsw.edu.au
  • Books | 2025
    Liaw S-T; Jonnagaddala J; Godinho MA; Wilkins-Wong ZSY, 2025, Digital Health Maturity: Quality, Interoperability, and Innovation, Academic Press
  • Book Chapters | 2026
    Jonnagaddala J; Liaw S-T, 2026, 'Addressing challenges with implementing essential digital tools', in Digital Health Maturity: Quality, Interoperability, and Innovation, http://dx.doi.org/10.1016/B978-0-323-95260-6.00011-3
    Book Chapters | 2026
    Jonnagaddala J; Liaw S-T, 2026, 'Chapter 10 Mature and evidence-based digital public goods, including AI-DPGs', in Digital Health Maturity: Quality, Interoperability, and Innovation, Elsevier, pp. 243 - 264, http://dx.doi.org/10.1016/b978-0-323-95260-6.00010-1
    Book Chapters | 2026
    Jonnagaddala J; Liaw S-T, 2026, 'Mature and evidence-based digital public goods, including AI-DPGs', in Digital Health Maturity: Quality, Interoperability, and Innovation
    Book Chapters | 2026
    Kahn M; Jonnagaddala J; Liaw S-T, 2026, 'Digital Health Maturity Stage 3: Standardized and interoperable', in Digital Health Maturity: Quality, Interoperability, and Innovation, http://dx.doi.org/10.1016/B978-0-323-95260-6.00003-4
    Book Chapters | 2026
    Shulajkovska M; Jelenc M; Jonnagaddala J; Gradišek A, 2026, 'Colorectal Cancer Survival Prediction Using Multimodal Fusion.', in , pp. 87 - 91, http://dx.doi.org/10.3233/SHTI260114
    Book Chapters | 2018
    Singh O; Chang NW; Dai HJ; Jonnagaddala J, 2018, 'Translational bioinformatics databases', in Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, pp. 1058 - 1062, http://dx.doi.org/10.1016/B978-0-12-809633-8.20303-8
    Book Chapters | 2017
    Jonnagaddala J; Dai H-J; Ray P; Liaw S-T, 2017, 'Mining Electronic Health Records to Guide and Support Clinical Decision Support Systems', in HEALTHCARE ETHICS AND TRAINING: CONCEPTS, METHODOLOGIES, TOOLS, AND APPLICATIONS, IGI GLOBAL, pp. 184 - 201, http://dx.doi.org/10.4018/978-1-5225-2237-9.ch008
    Book Chapters | 2017
    Jonnagaddala J; Dai HJ; Ray P; Liaw ST, 2017, 'Mining electronic health records to guide and support clinical decision support systems', in Healthcare Ethics and Training: Concepts, Methodologies, Tools, and Applications, IGI Global, pp. 184 - 201, http://dx.doi.org/10.4018/978-1-5225-2237-9.ch008
  • Edited Books | 2025
    Liaw S-T; Jonnagaddala J; Godinho MA; Wilkins-Wong ZSY, 2025, Digital Health Maturity: Quality, Interoperability, and Innovation, Academic Press
  • Journal articles | 2026
    Dhar E; Kabir MA; Nadar DR; Kuo LJ; Jonnagaddala J; Huang Y; Uddin M; Syed-Abdul S, 2026, 'Exploring Machine Learning Approaches for Decision Support in Neoadjuvant Therapy of Locally Advanced Rectal Cancer', Oncology Research, 34, http://dx.doi.org/10.32604/or.2026.074385
    Journal articles | 2026
    Guo J; You L; Liu L; Jiao X; Kar D; Jonnagaddala J, 2026, 'The Effectiveness of Digital Therapeutics Intervention in Oral Anticoagulation Management: A Systematic Review and Meta-analysis', Mayo Clinic Proceedings Digital Health, 4, http://dx.doi.org/10.1016/j.mcpdig.2026.100336
    Journal articles | 2026
    Jonnagaddala J; Dai HJ; Chen CT; Chang YC; Feng HH, 2026, 'Preface', Communications in Computer and Information Science, 2908 CCIS, pp. v - vi
    Journal articles | 2026
    Liang J; Jiang X; Reitsam NG; Lenz T; Zhang L; Gustav M; Carrero ZI; Muti HS; Neidlinger P; Clusmann J; Žigutytė L; Sainath V; Wolf F; Boardman LA; French AJ; Goode EL; Gsur A; Brezina S; Gunter MJ; Steinfelder R; Harrison T; Peters U; Phipps AI; Quirke P; West NP; Hoffmeister M; Brenner H; Wankhede D; Jonnagaddala J; Hawkins N; Ward RL; Fountzilas E; Papadopoulou K; Fountzilas G; André T; Taieb J; Emile JF; Svrcek M; Kong L; Kather JN, 2026, 'Spatial biomarker discovery via interpretable semantic learning in histopathology', Cancer Cell, http://dx.doi.org/10.1016/j.ccell.2026.05.014
    Journal articles | 2026
    Lukitasari M; Jonnagaddala J; Liaw ST; Jalaludin B, 2026, 'Visit-to-visit blood pressure variability and cardiovascular outcomes: a systematic review and dose-response meta-analysis', European Journal of Preventive Cardiology, 33, pp. 1127 - 1137, http://dx.doi.org/10.1093/eurjpc/zwaf546
    Journal articles | 2026
    Rakhshanda S; Briggs NE; Rhee J; Rye K-A; Liaw S-T; Jonnagaddala J, 2026, 'Interventions to improve adherence among patients prescribed statins for primary prevention of cardiovascular diseases: a systematic review and meta-analysis', EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY, http://dx.doi.org/10.1093/eurjpc/zwag175
    Journal articles | 2026
    Reitsam NG; Jiang X; Liang J; Grosser B; Grozdanov V; Loeffler CML; Gustav M; Lenz T; Muti HS; Carrero ZI; West NP; Quirke P; Foersch S; Jesinghaus M; Müller W; Yuan T; Hoffmeister M; Brenner H; Jonnagaddala J; Hawkins NJ; Ward RL; Grabsch HI; Märkl B; Kather JN, 2026, 'Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response', Journal of Pathology, 269, pp. 112 - 124, http://dx.doi.org/10.1002/path.70039
    Journal articles | 2026
    Wang J; Rakhshanda S; Lukitasari M; Sitas F; Jonnagaddala J, 2026, 'Data quality assessment of general practitioner collected data on smoking status', Machine Learning: Health, http://dx.doi.org/10.1088/3049-477x/ae866d
    Journal articles | 2026
    Ye H; Zhao K; Cui Y; Li Z; Zhang H; Zhong ME; Fan C; Huang H; Hawkins NJ; Ward RL; Sun XF; Song J; Liu Z; Jonnagaddala J; Tong T; Yao S, 2026, 'Artificial intelligence-based tumor-stroma ratio quantification reveals prognostic value and stromal-driven immunosuppression in colorectal cancer: an international validation study', Journal of Translational Medicine, 24, http://dx.doi.org/10.1186/s12967-026-07681-6
    Journal articles | 2025
    Dai HJ; Mir TH; Chen CT; Chen CC; Yang HP; Lee CH; Chou YY; Teng YC; Gupta S; Panchal O; Nadar DR; Liao WH; Lin YC; Zhao ZR; Tsai RTH; Chang YC; Jonnagaddala J, 2025, 'Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records', Npj Digital Medicine, 8, http://dx.doi.org/10.1038/s41746-025-01921-7
    Journal articles | 2025
    Jonnagaddala J; Ahmed S; Chayeb JME, 2025, 'Lower gastrointestinal bleeding from colonic varices of unknown origin', Clinics and Research in Hepatology and Gastroenterology, 49, http://dx.doi.org/10.1016/j.clinre.2025.102536
    Journal articles | 2025
    Jonnagaddala J; Dai HJ; Chen CT, 2025, 'Preface', Communications in Computer and Information Science, 2148, pp. v - vi
    Journal articles | 2025
    Jonnagaddala J; Shulajkovska M; Gradišek A; Jue TR; Zhou Q; Guo Y; Chayeb JME; Li R; Lipkova J; Kather JN; Huang J, 2025, 'Multimodal analysis of whole slide images in colorectal cancer', Npj Digital Medicine, 8, http://dx.doi.org/10.1038/s41746-025-02095-y
    Journal articles | 2025
    Jonnagaddala J; Wong ZSY, 2025, 'Privacy preserving strategies for electronic health records in the era of large language models', Npj Digital Medicine, 8, http://dx.doi.org/10.1038/s41746-025-01429-0
    Journal articles | 2025
    Kar D; Byng R; Spicer S; Farina N; Pinkney J; Song S; Zabeen B; Kar S; Jonnagaddala J; Liaw S-T; El-Wazir A; Nath M; Khan MAB; Sheikh A; de Lusignan S, 2025, 'Young-onset diabetes poses a greater risk of end-stage renal disease (ESRD) than cardiovascular disease and stroke: a retrospective cohort study of UK Biobank', , http://dx.doi.org/10.21203/rs.3.rs-5951257/v1
    Journal articles | 2025
    Kar D; Molokhia M; Wierzbicki A; Koziell A; Byng R; Spicer S; Farina N; Pinkney J; Song S; Zabeen B; Kar S; Jonnagaddala J; Liaw ST; El-Wazir A; Nath M; Khan MAB; Sheikh A; de Lusignan S, 2025, 'Comparative risk of end-stage renal disease, myocardial infarction and stroke in young and older onset diabetes in UK Biobank', Scientific Reports, 15, http://dx.doi.org/10.1038/s41598-025-24521-7
    Journal articles | 2025
    Lukitasari M; Nazareno AL; Rohman MS; Jonnagaddala J, 2025, 'Early Detection of Acute Coronary Syndrome Using a Mobile Digital Health Application', Studies in Health Technology and Informatics, 329, pp. 1150 - 1154, http://dx.doi.org/10.3233/SHTI251019
    Journal articles | 2025
    Nasca V; Zhao J; Ros J; Lonardi S; Zwart K; Cohen R; Fakih M; Jayachandran P; Roodhart JML; Derksen J; Intini R; Bergamo F; Mazzoli G; Ghelardi F; Ligero M; Jonnagaddala J; Hawkins N; Ward RL; Wankhede D; Brenner H; Hoffmeister M; Vitellaro M; Salvatore L; Gallois C; Laurent-Puig P; Cremolini C; Overman MJ; Taieb J; Tougeron D; Andre T; Kather JN; Sundar R; Carmona J; Elez E; Koopman M; Pietrantonio F, 2025, 'Sex and outcomes of patients with microsatellite instability-high and BRAF V600E mutated metastatic colorectal cancer receiving immune checkpoint inhibitors', Journal for Immunotherapy of Cancer, 13, http://dx.doi.org/10.1136/jitc-2024-010598
    Journal articles | 2025
    Rakhshanda S; Mashreky SR; Jonnagaddala J, 2025, 'Stigma and Feeling of Burden Among Caregivers of Individuals with Mental Illness', Studies in Health Technology and Informatics, 329, pp. 1525 - 1529, http://dx.doi.org/10.3233/SHTI251094
    Journal articles | 2025
    Sunjaya AP; Godinho MA; Jonnagaddala J; Kuziemsky C; Tu K; Islam R; Okui T; Nakashima NO; Silva-Valencia J; Rojas-Mezarina L; Marcelo A; Kay Wye SW; Hsu CY; Hoang U; Westfall J; de Lusignan S; Liaw ST, 2025, 'Primary Care EHR data on Social Determinants of Health: Quality and Fitness for Purpose in Precision/Personalised Medicine', Yearbook of Medical Informatics, 33, pp. 32 - 44, http://dx.doi.org/10.1055/s-0044-1800716
    Journal articles | 2025
    Tran M; Balasooriya C; Jonnagaddala J; Leung GKK; Mahboobani N; Ramani S; Rhee J; Schuwirth L; Najafzadeh-Tabrizi NS; Semmler C; Wong ZSY, 2025, 'Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education', Npj Digital Medicine, 8, http://dx.doi.org/10.1038/s41746-025-01721-z
    Journal articles | 2025
    Tran Y; Cabezas M; Tran F; Manski-Nankervis JA; Jonnagaddala J; Tang D; Sinha K; Alam MN; Monaghan J; Donald A; Mitchell R; Crossley M; Selvadurai N; Gopinath B, 2025, 'A protocol for the HEaring Impairment Data Infrastructure (HEIDI) study', Plos One, 20, http://dx.doi.org/10.1371/journal.pone.0320294
    Journal articles | 2025
    Wang X; Jiang Y; Yang S; Wang F; Zhang X; Wang W; Chen Y; Wu X; Xiang J; Li Y; Jiang X; Yuan W; Zhang J; Yu KH; Ward RL; Hawkins N; Jonnagaddala J; Li G; Li R, 2025, 'Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers', Journal of Clinical Oncology, 43, pp. 3468 - 3481, http://dx.doi.org/10.1200/JCO-24-01501
    Journal articles | 2025
    Zhao K; Ye H; Cui Y; Li Z; Zhang H; Zhong M-E; Fan C; Hawkins N; Ward R; Sun X-F; Song J; Liu Z; Jonnagaddala J; Tong T; Yao S, 2025, '125P Artificial intelligence-based TSR quantification reveals prognostic value and stromal-driven immunosuppression in colorectal cancer: An international validation study', ESMO Real World Data and Digital Oncology, 10, pp. 100322 - 100322, http://dx.doi.org/10.1016/j.esmorw.2025.100322
    Journal articles | 2024
    Ahmed S; Jonnagaddala J; Al Nasheet F; El Chayeb JM, 2024, 'A Woman With Unintended Weight Loss, Hematochezia, Abdominal Pain, and Vomiting', Gastroenterology, 166, pp. e9 - e12, http://dx.doi.org/10.1053/j.gastro.2023.08.025
    Journal articles | 2024
    Binte Hossain F; Muscatello D; Jayasinghe S; Jonnagaddala J; Liu B, 2024, 'Uptake of pneumococcal vaccines in older Australian adults before and after universal public funding of PCV13', Vaccine, 42, pp. 3084 - 3090, http://dx.doi.org/10.1016/j.vaccine.2024.04.012
    Journal articles | 2024
    Jiang X; Hoffmeister M; Brenner H; Muti HS; Yuan T; Foersch S; West NP; Brobeil A; Jonnagaddala J; Hawkins N; Ward RL; Brinker TJ; Saldanha OL; Ke J; Müller W; Grabsch HI; Quirke P; Truhn D; Kather JN, 2024, 'End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study', Lancet Digital Health, 6, pp. e33 - e43, http://dx.doi.org/10.1016/S2589-7500(23)00208-X
    Journal articles | 2023
    Cen M; Li X; Guo B; Jonnagaddala J; Zhang H; Xu XS, 2023, 'A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers Using Sequencer Architecture', American Journal of Pathology, 193, pp. 2122 - 2132, http://dx.doi.org/10.1016/j.ajpath.2023.09.006
    Journal articles | 2023
    Cen M; Li X; Guo B; Jonnagaddala J; Zhang H; Xu XS, 2023, 'Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines.', CoRR, abs/2302.10406
    Journal articles | 2023
    Craig A; Beek K; Godinho M; Ansari S; Jonnagaddala J; Asgari-Jirhandeh N; Linhart C; Hall J; Liaw T, 2023, 'Digital health and universal health coverage: opportunities and policy considerations for low- and middle-income Pacific Island countries and territories', Pacific Health, 6, http://dx.doi.org/10.24135/pacifichealth.v6i.64
    Journal articles | 2023
    Guo B; Li X; Yang M; Jonnagaddala J; Zhang H; Xu XS, 2023, 'Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: achieving state-of-the-art predictive performance with fewer data using Swin Transformer', Journal of Pathology Clinical Research, 9, pp. 223 - 235, http://dx.doi.org/10.1002/cjp2.312
    Journal articles | 2023
    Höhn J; Krieghoff-Henning E; Wies C; Kiehl L; Hetz MJ; Bucher TC; Jonnagaddala J; Zatloukal K; Müller H; Plass M; Jungwirth E; Gaiser T; Steeg M; Holland-Letz T; Brenner H; Hoffmeister M; Brinker TJ, 2023, 'Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning', Npj Precision Oncology, 7, http://dx.doi.org/10.1038/s41698-023-00451-3
    Journal articles | 2023
    John JR; Khan JR; Lin PI; Jonnagaddala J; Hu N; Belcher J; Liaw ST; Lingam R; Eapen V, 2023, 'A nationwide study of COVID-19 impact on mental health-related presentations among children and adolescents to primary care practices in Australia', Psychiatry Research, 326, http://dx.doi.org/10.1016/j.psychres.2023.115332
    Journal articles | 2023
    Jonnagaddala J; Hoang U; Wensaas KA; Tu K; Ortigoza A; Silva-Valencia J; Cuba-Fuentes MS; Godinho MA; deLusignan S; Liaw ST, 2023, 'Integrated Management Systems (IMS) to Support and Sustain Quality One Health Services: International Lessons from the COVID-19 Pandemic by the IMIA Primary Care Working Group', Yearbook of Medical Informatics, 32, pp. 55 - 64, http://dx.doi.org/10.1055/s-0043-1768725
    Journal articles | 2023
    Liu A; Li X; Wu H; Guo B; Jonnagaddala J; Zhang H; Xu S, 2023, 'Prognostic Significance of Tumor-Infiltrating Lymphocytes Determined Using LinkNet on Colorectal Cancer Pathology Images', JCO Precision Oncology, 7, http://dx.doi.org/10.1200/PO.22.00522
    Journal articles | 2023
    Liu J; Gupta S; Chen A; Wang CK; Mishra P; Dai HJ; Wong ZSY; Jonnagaddala J, 2023, 'OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study', Journal of Medical Internet Research, 25, http://dx.doi.org/10.2196/48145
    Journal articles | 2023
    Lukitasari M; Apriliyawan S; Manistamara H; Sella YO; Rohman MS; Jonnagaddala J, 2023, 'Focused Chest Pain Assessment for Early Detection of Acute Coronary Syndrome: Development of a Cardiovascular Digital Health Intervention', Global Heart, 18, http://dx.doi.org/10.5334/gh.1194
    Journal articles | 2023
    Mishra A; Zhou B; Rodriguez-Martinez A; Bixby H; Singleton RK; Carrillo-Larco RM; Sheffer KE; Paciorek CJ; Bennett JE; Lhoste V; Iurilli MLC; Di Cesare M; Bentham J; Phelps NH; Sophiea MK; Stevens GA; Danaei G; Cowan MJ; Savin S; Riley LM; Gregg EW; Aekplakorn W; Ahmad NA; Baker JL; Chirita-Emandi A; Farzadfar F; Fink G; Heinen M; Ikeda N; Kengne AP; Khang YH; Laatikainen T; Laxmaiah A; Ma J; Monroy-Valle M; Mridha MK; Padez CP; Reynolds A; Sorić M; Starc G; Wirth JP; Abarca-Gómez L; Abdeen ZA; Abdrakhmanova S; Ghaffar SA; Abdul Rahim HF; Abdurrahmonova Z; Abu-Rmeileh NM; Garba JA; Acosta-Cazares B; Adam I; Adamczyk M; Adams RJ; Adu-Afarwuah S; Afsana K; Afzal S; Agbor VN; Agdeppa IA; Aghazadeh-Attari J; Aguenaou H; Aguilar-Salinas CA; Agyemang C; Ahmad MH; Ahmadi A; Ahmadi N; Ahmadi N; Ahmed I; Ahmed SH; Ahrens W; Aitmurzaeva G; Ajlouni K; Al-Hazzaa HM; Al-Lahou B; Al-Raddadi R; Al Hourani HM; Al Qaoud NM; Alarouj M; AlBuhairan F; AlDhukair S; Aldwairji MA; Alexius S; Ali MM; Alkandari A; Alkerwi A; Alkhatib BM; Allin K; Alvarez-Pedrerol M; Aly E; Amarapurkar DN; Etxezarreta PA; Amoah J; Amougou N; Amouyel P; Andersen LB; Anderssen SA; Androutsos O; Ängquist L; Anjana RM; Ansari-Moghaddam A; Anufrieva E; Jonnagaddala J; Woodward M; Sundstorm J; Simons L; Schutte A, 2023, 'Diminishing benefits of urban living for children and adolescents’ growth and development', Nature, 615, pp. 874 - 883, http://dx.doi.org/10.1038/s41586-023-05772-8
    Journal articles | 2023
    Morales DR; Ostropolets A; Lai L; Sena A; Duvall S; Suchard M; Verhamme K; Rjinbeek P; Posada J; Ahmed W; Alshammary T; Alghoul H; Alser O; Areia C; Blacketer C; Burn E; Casajust P; You SC; Dawoud D; Golozar A; Gong M; Jonnagaddala J; Lynch K; Matheny M; Minty E; Nyberg F; Uribe A; Recalde M; Reich C; Scheumie M; Shah K; Shah N; Schilling L; Vizcaya D; Zhang L; Hripcsak G; Ryan P; Prieto-Alhambra D; Durate-Salles T; Kostka K, 2023, 'Characteristics and outcomes of COVID-19 patients with and without asthma from the United States, South Korea, and Europe', Journal of Asthma, 60, pp. 76 - 86, http://dx.doi.org/10.1080/02770903.2021.2025392
    Journal articles | 2023
    Shao Z; Dai L; Jonnagaddala J; Chen Y; Wang Y; Fang Z; Zhang Y, 2023, 'Generalizability of Self-Supervised Training Models for Digital Pathology: A Multicountry Comparison in Colorectal Cancer', JCO Clinical Cancer Informatics, 7, http://dx.doi.org/10.1200/CCI.22.00178
    Journal articles | 2023
    Susič D; Syed-Abdul S; Dovgan E; Jonnagaddala J; Gradišek A, 2023, 'Artificial intelligence based personalized predictive survival among colorectal cancer patients', Computer Methods and Programs in Biomedicine, 231, http://dx.doi.org/10.1016/j.cmpb.2023.107435
    Journal articles | 2023
    Wagner SJ; Reisenbüchler D; West NP; Niehues JM; Zhu J; Foersch S; Veldhuizen GP; Quirke P; Grabsch HI; van den Brandt PA; Hutchins GGA; Richman SD; Yuan T; Langer R; Jenniskens JCA; Offermans K; Mueller W; Gray R; Gruber SB; Greenson JK; Rennert G; Bonner JD; Schmolze D; Jonnagaddala J; Hawkins NJ; Ward RL; Morton D; Seymour M; Magill L; Nowak M; Hay J; Koelzer VH; Church DN; Domingo E; Edwards J; Glimelius B; Gogenur I; Harkin A; Iveson T; Jaeger E; Kelly C; Kerr R; Maka N; Morgan H; Oien K; Orange C; Palles C; Roxburgh C; Sansom O; Saunders M; Tomlinson I; Matek C; Geppert C; Peng C; Zhi C; Ouyang X; James JA; Loughrey MB; Salto-Tellez M; Brenner H; Hoffmeister M; Truhn D; Schnabel JA; Boxberg M; Peng T; Kather JN, 2023, 'Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study', Cancer Cell, 41, pp. 1650 - 1661.e4, http://dx.doi.org/10.1016/j.ccell.2023.08.002
    Journal articles | 2023
    Wang H; Tucker WJ; Jonnagaddala J; Schutte AE; Jalaludin B; Liaw ST; Rye KA; Wong RK; Ong KL, 2023, 'Using machine learning to predict cardiovascular risk using self-reported questionnaires: Findings from the 45 and Up Study', International Journal of Cardiology, 386, pp. 149 - 156, http://dx.doi.org/10.1016/j.ijcard.2023.05.030
    Journal articles | 2022
    Barsasella D; Bah K; Mishra P; Uddin M; Dhar E; Suryani DL; Setiadi D; Masturoh I; Sugiarti I; Jonnagaddala J; Syed-Abdul S, 2022, 'A Machine Learning Model to Predict Length of Stay and Mortality among Diabetes and Hypertension Inpatients', Medicina Kaunas Lithuania, 58, http://dx.doi.org/10.3390/medicina58111568
    Journal articles | 2022
    Barsasella D; Iman AT; Fadly F; Uddin M; Mohammed A; Shaik T; Saputra H; Malwade S; Dhar E; Zakiah ; Nurhadi ; Jonnagaddala J; Syed-Abdul S, 2022, 'Information Flow and Data Gaps in COVID-19 Recording and Reporting at National and Provincial Levels in Indonesia', Healthcare Switzerland, 10, http://dx.doi.org/10.3390/healthcare10020204
    Journal articles | 2022
    Guo B; Jonnagaddala J; Zhang H; Xu XS, 2022, 'Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer.', CoRR, abs/2208.10495
    Journal articles | 2022
    Kadappu P; Jonnagaddala J; Liaw ST; Cochran BJ; Rye KA; Ong KL; Liaw T, 2022, 'Statin Prescription Patterns and Associations with Subclinical Inflammation', Medicina Lithuania, 58, pp. 1096, http://dx.doi.org/10.3390/medicina58081096
    Journal articles | 2022
    Kuziemsky C; Liaw ST; Leston M; Pearce C; Jonnagaddala J; De Lusignan S, 2022, 'Towards Equitable and Resilient Digital Primary Care Systems: An International Comparison and Insight for Moving Forward', Yearbook of Medical Informatics, 31, pp. 47 - 59, http://dx.doi.org/10.1055/s-0042-1742502
    Journal articles | 2022
    Li X; Jonnagaddala J; Cen M; Zhang H; Steven X, 2022, 'Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning.', Entropy, 24, pp. 1669 - 1669
    Journal articles | 2022
    Li X; Jonnagaddala J; Cen M; Zhang H; Xu S, 2022, 'Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning', Entropy, 24, http://dx.doi.org/10.3390/e24111669
    Journal articles | 2022
    Li X; Jonnagaddala J; Yang S; Zhang H; Xu XS, 2022, 'A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer', Journal of Cancer Research and Clinical Oncology, 148, pp. 1955 - 1963, http://dx.doi.org/10.1007/s00432-022-03976-5
    Journal articles | 2022
    Lu Y; Van Zandt M; Liu Y; Li J; Wang X; Chen Y; Chen Z; Cho J; Dorajoo SR; Feng M; Hsu MH; Hsu JC; Iqbal U; Jonnagaddala J; Li YC; Liaw ST; Lim HS; Ngiam KY; Nguyen PA; Park RW; Pratt N; Reich C; Rhee SY; Sathappan SMK; Shin SJ; Tan HX; You SC; Zhang X; Krumholz HM; Suchard MA; Xu H, 2022, 'Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational Cohort', JAMA Network Open, 5, pp. E223877, http://dx.doi.org/10.1001/jamanetworkopen.2022.3877
    Journal articles | 2022
    Sandarenu P; Millar EKA; Song Y; Browne L; Beretov J; Lynch J; Graham PH; Jonnagaddala J; Hawkins N; Huang J; Meijering E, 2022, 'Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images', Scientific Reports, 12, pp. 14527 - 14527, http://dx.doi.org/10.1038/s41598-022-18647-1
    Journal articles | 2022
    Williams RD; Markus AF; Yang C; Duarte-Salles T; DuVall SL; Falconer T; Jonnagaddala J; Kim C; Rho Y; Williams AE; Machado AA; An MH; Aragón M; Areia C; Burn E; Choi YH; Drakos I; Abrahão MTF; Fernández-Bertolín S; Hripcsak G; Kaas-Hansen BS; Kandukuri PL; Kors JA; Kostka K; Liaw ST; Lynch KE; Machnicki G; Matheny ME; Morales D; Nyberg F; Park RW; Prats-Uribe A; Pratt N; Rao G; Reich CG; Rivera M; Seinen T; Shoaibi A; Spotnitz ME; Steyerberg EW; Suchard MA; You SC; Zhang L; Zhou L; Ryan PB; Prieto-Alhambra D; Reps JM; Rijnbeek PR, 2022, 'Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network', BMC Medical Research Methodology, 22, http://dx.doi.org/10.1186/s12874-022-01505-z
    Journal articles | 2021
    ALLA NLV; CHEN A; BATONGBACAL S; NEKKANTTI C; Dai HJ; JONNAGADDALA J, 2021, 'Cohort selection for construction of a clinical natural language processing corpus', Computer Methods and Programs in Biomedicine Update, 1, http://dx.doi.org/10.1016/j.cmpbup.2021.100024
    Journal articles | 2021
    Barsasella D; Gupta S; Malwade S; Aminin ; Susanti Y; Tirmadi B; Mutamakin A; Jonnagaddala J; Syed-Abdul S, 2021, 'Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension', International Journal of Medical Informatics, 154, http://dx.doi.org/10.1016/j.ijmedinf.2021.104569
    Journal articles | 2021
    Biro T; Austin CC; Pickering B; Bernier A; Bezuidenhout L; Casorrán C; Crawley FP; David R; Engelhardt C; Mitrea G; Mochmann IC; Nagrani R; O'Brien-Uhlmansiek M; Parker S; Wang M; Castro LJ; Cournia Z; Dharmawardena K; Diallo G; Dillo I; Gonzalez-Beltran A; Gururaj A; Gutam S; Harrower N; Jonnagaddala J; McNeill K; Mietchen D; Pienta A; Polydoratou P; Tovani-Palone MR, 2021, 'Radical collaboration during a global health emergency: Development of the RDA COVID-19 data sharing recommendations and guidelines', Open Research Europe, 1, http://dx.doi.org/10.12688/openreseurope.13369.1
    Journal articles | 2021
    Jonnagaddala J; Chen A; Batongbacal S; Nekkantti C, 2021, 'The OpenDeID corpus for patient de-identification', Scientific Reports, 11, http://dx.doi.org/10.1038/s41598-021-99554-9
    Journal articles | 2021
    Jonnagaddala J; Godinho MA; Liaw S-T, 2021, 'From telehealth to virtual primary care in Australia? A Rapid Scoping Review', International Journal of Medical Informatics, pp. 104470 - 104470
    Journal articles | 2021
    Li X; Jonnagaddala J; Yang S; Zhang H; Xu XS, 2021, 'A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer', , http://dx.doi.org/10.48550/arxiv.2111.03532
    Journal articles | 2021
    Liaw S-T; Guo JGN; Ansari S; Jonnagaddala J; Godinho MA; Borelli AJ; Lusignan SD; Capurro D; Liyanage H; Bhattal N; Bennett V; Chan J; Kahn MG, 2021, 'Quality assessment of real-world data repositories across the data life cycle: A literature review.', J. Am. Medical Informatics Assoc., 28, pp. 1591 - 1599
    Journal articles | 2021
    Liaw S-T; Kuziemsky C; Schreiber R; Jonnagaddala J; Liyanage H; Chittalia A; Bahniwal R; He JW; Ryan BL; Lizotte DJ; others , 2021, 'Primary Care Informatics Response to Covid-19 Pandemic: Adaptation, Progress, and Lessons from Four Countries with High ICT Development', Yearbook of Medical Informatics
    Journal articles | 2021
    Liaw T; Guo J; Ansari S; Jonnagaddala J; Godinho M; Borelli Jr A; de Lusignan S; Capurro D; Liyanage H; Bhattal N; Bennett V; Chan J; Kahn M; Guo J, 2021, 'Quality assessment of real-world data repositories across the data life cycle: A literature review', Journal of the American Medical Informatics Association, 28, pp. 1591 - 1599, http://dx.doi.org/10.1093/jamia/ocaa340
    Journal articles | 2021
    Prats-Uribe A; Sena AG; Lai LYH; Ahmed WUR; Alghoul H; Alser O; Alshammari TM; Areia C; Carter W; Casajust P; Dawoud D; Golozar A; Jonnagaddala J; Mehta PP; Gong M; Morales DR; Nyberg F; Posada JD; Recalde M; Roel E; Shah K; Shah NH; Schilling LM; Subbian V; Vizcaya D; Zhang L; Zhang Y; Zhu H; Liu L; Cho J; Lynch KE; Matheny ME; You SC; Rijnbeek PR; Hripcsak G; Lane JCE; Burn E; Reich C; Suchard MA; Duarte-Salles T; Kostka K; Ryan PB; Prieto-Alhambra D, 2021, 'Use of repurposed and adjuvant drugs in hospital patients with covid-19: Multinational network cohort study', BMJ, 373, http://dx.doi.org/10.1136/bmj.n1038
    Journal articles | 2021
    Quinn CM; Porwal M; Meagher NS; Hettiaratchi A; Power C; Jonnaggadala J; McCullough S; Macmillan S; Tang K; Liauw W; Goldstein D; Zeps N; Crowe PJ; Jonnagaddala J, 2021, 'Moving with the Times: The Health Science Alliance (HSA) Biobank, Pathway to Sustainability', Biomarker Insights, 16, pp. 1 - 10, http://dx.doi.org/10.1177/11772719211005745
    Journal articles | 2021
    Reps JM; Kim C; Williams RD; Markus AF; Yang C; Duarte-Salles T; Falconer T; Jonnagaddala J; Williams A; Fernández-Bertolín S; DuVall SL; Kostka K; Rao G; Shoaibi A; Ostropolets A; Spotnitz ME; Zhang L; Casajust P; Steyerberg EW; Nyberg F; Kaas-Hansen BS; Choi YH; Morales D; Liaw ST; Fernandes Abrahão MT; Areia C; Matheny ME; Lynch KE; Aragón M; Park RW; Hripcsak G; Reich CG; Suchard MA; You SC; Ryan PB; Prieto-Alhambra D; Rijnbeek PR, 2021, 'Implementation of the COVID-19 vulnerability index across an international network of health care data sets: Collaborative external validation study', Jmir Medical Informatics, 9, http://dx.doi.org/10.2196/21547
    Journal articles | 2021
    Roel E; Pistillo A; Recalde M; Sena AG; Fernández-Bertolín S; Aragón M; Puente D; Ahmed WUR; Alghoul H; Alser O; Alshammari TM; Areia C; Blacketer C; Carter W; Casajust P; Culhane AC; Dawoud D; DeFalco F; DuVall SL; Falconer T; Golozar A; Gong M; Hester L; Hripcsak G; Tan EH; Jeon H; Jonnagaddala J; Lai LYH; Lynch KE; Matheny ME; Morales DR; Natarajan K; Nyberg F; Ostropolets A; Posada JD; Prats-Uribe A; Reich CG; Rivera DR; Schilling LM; Soerjomataram I; Shah K; Shah NH; Shen Y; Spotniz M; Subbian V; Suchard MA; Trama A; Zhang L; Zhang Y; Ryan PB; Prieto-Alhambra D; Kostka K; Duarte-Salles T, 2021, 'Characteristics and outcomes of over 300,000 patients with COVID-19 and history of cancer in the United States and Spain', Cancer Epidemiology Biomarkers and Prevention, 30, pp. 1884 - 1894, http://dx.doi.org/10.1158/1055-9965.EPI-21-0266
    Journal articles | 2021
    Tan EH; Sena AG; Prats-Uribe A; You SC; Kostka K; Reich C; Duvall SL; Lynch KE; Matheny ME; Duarte-Salles T; others , 2021, 'COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries', Rheumatology
    Journal articles | 2020
    Dai H-J; Wang F-D; Chen C-W; Su C-H; Wu C-S; Jonnagaddala J, 2020, 'Cohort Selection for Clinical Trials Using Multiple Instance Learning', Journal of Biomedical Informatics, pp. 103438 - 103438
    Journal articles | 2020
    Dai HJ; Lee YQ; Nekkantti C; Jonnagaddala J, 2020, 'Family history information extraction with neural attention and an enhanced relation-side scheme: Algorithm development and validation', Jmir Medical Informatics, 8, http://dx.doi.org/10.2196/21750
    Journal articles | 2020
    Godinho MA; Jonnagaddala J; Gudi N; Islam R; Narasimhan P; Liaw ST; Liaw T, 2020, 'mHealth for Integrated People-Centred Health Services in the Western Pacific: A Systematic Review', International Journal of Medical Informatics, 142, pp. 104259, http://dx.doi.org/10.1016/j.ijmedinf.2020.104259
    Journal articles | 2020
    Jonnagaddala J; Guo GN; Batongbacal S; Marcelo A; Liaw ST, 2020, 'Adoption of enterprise architecture for healthcare in AeHIN member countries', BMJ Health and Care Informatics, 27, http://dx.doi.org/10.1136/bmjhci-2020-100136
    Journal articles | 2020
    Liaw S-T; Liyanage H; Kuziemsky C; Terry AL; Schreiber R; Jonnagaddala J; de Lusignan S, 2020, 'Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association', Yearbook of Medical Informatics
    Journal articles | 2020
    Sieberts SK; Schaff J; Duda M; Pataki BÁ; Sun M; Snyder P; Daneault J-F; Parisi F; Costante G; Rubin U; others , 2020, 'Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge', npj Digital Medicine
    Journal articles | 2020
    Yao J; Zhu X; Jonnagaddala J; Hawkins N; Huang J, 2020, 'Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks', Medical Image Analysis, 65, http://dx.doi.org/10.1016/j.media.2020.101789
    Journal articles | 2019
    Dai H-J; Wang C-K; Chang N-W; Huang M-S; Jonnagaddala J; Wang F-D; Hsu W-L, 2019, 'Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature', Database, 2019
    Journal articles | 2019
    Guo GN; Jonnagaddala J; Farshid S; Huser V; Reich C; Liaw S-T, 2019, 'Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings', Journal of the American Medical Informatics Association, 26, pp. 1237 - 1246
    Journal articles | 2019
    Liyanage H; Liaw S-T; Jonnagaddala J; Schreiber R; Kuziemsky C; Terry AL; de Lusignan S; Liaw T, 2019, 'Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges', Yearbook of medical informatics, 28, pp. 041 - 046, http://dx.doi.org/10.1055/s-0039-1677901
    Journal articles | 2019
    Vo K; Jonnagaddala J; Liaw S-T, 2019, 'Statistical supervised meta-ensemble algorithm for medical record linkage', Journal of biomedical informatics, 95, pp. 103220 - 103220
    Journal articles | 2019
    Wakamiya S; Matsune S; Okubo K; Aramaki E, 2019, 'Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis.', J Med Internet Res, 21, pp. e10450, http://dx.doi.org/10.2196/10450
    Journal articles | 2018
    Dai H-J; Jonnagaddala J, 2018, 'Assessing the severity of positive valence symptoms in initial psychiatric evaluation records: Should we use convolutional neural networks?', PloS one, 13, pp. e0204493 - e0204493
    Journal articles | 2018
    Tchechmedjiev A; Abdaoui A; Emonet V; Melzi S; Jonnagaddala J; Jonquet C, 2018, 'Enhanced Functionalities for Annotating and Indexing Clinical Text with the NCBO Annotator+', Bioinformatics
    Journal articles | 2018
    Warren I; Meads A; Whittaker R; Dobson R; Ameratunga S, 2018, 'Behavior Change for Youth Drivers: Design and Development of a Smartphone-Based App (BackPocketDriver).', JMIR Form Res, 2, pp. e25, http://dx.doi.org/10.2196/formative.9660
    Journal articles | 2017
    Dai H-J; Su EC-Y; Uddin M; Jonnagaddala J; Wu C-S; Syed-Abdul S, 2017, 'Exploring associations of clinical and social parameters with violent behaviors among psychiatric patients', Journal of biomedical informatics, 75, pp. S149 - S159
    Journal articles | 2017
    Lee J, 2017, 'Patient-Specific Predictive Modeling Using Random Forests: An Observational Study for the Critically Ill.', JMIR Med Inform, 5, pp. e3, http://dx.doi.org/10.2196/medinform.6690
    Journal articles | 2016
    Dai H-J; Singh O; Jonnagaddala J; Su EC-Y, 2016, 'NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions', Database, 2016
    Journal articles | 2016
    Dai H-J; Su C-H; Lai P-T; Huang M-S; Jonnagaddala J; Rose Jue T; Rao S; Chou H-J; Milacic M; Singh O; others , 2016, 'MET network in PubMed: a text-mined network visualization and curation system', Database, 2016
    Journal articles | 2016
    Dai H-J; Touray M; Jonnagaddala J; Syed-Abdul S, 2016, 'Feature engineering for recognizing adverse drug reactions from twitter posts', Information, 7, pp. 27 - 27
    Journal articles | 2016
    Jonnagaddala J; Jue TR; Chang N-W; Dai H-J, 2016, 'Improving the dictionary lookup approach for disease normalization using enhanced dictionary and query expansion', Database, 2016
    Journal articles | 2016
    Kim S; Islamaj Do\ugan R; Chatr-Aryamontri A; Chang CS; Oughtred R; Rust J; Batista-Navarro R; Carter J; Ananiadou S; Matos S; others , 2016, 'BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID', Database, 2016
    Journal articles | 2015
    Chang N-W; Dai H-J; Jonnagaddala J; Chen C-W; Tsai RT-H; Hsu W-L, 2015, 'A context-aware approach for progression tracking of medical concepts in electronic medical records', Journal of biomedical informatics, 58, pp. S150 - S157
    Journal articles | 2015
    Jonnagaddala J; Liaw S-T; Ray P; Kumar M; Chang N-W; Dai H-J, 2015, 'Coronary artery disease risk assessment from unstructured electronic health records using text mining', Journal of biomedical informatics, 58, pp. S203 - S210
    Journal articles | 2015
    Jonnagaddala J; Liaw S-T; Ray P; Kumar M; Dai H-J; Liaw T, 2015, 'Identification and progression of heart disease risk factors in diabetic patients from longitudinal electronic health records.', BioMed Research International, 2015, pp. 636371, http://dx.doi.org/10.1155/2015/636371
    Journal articles | 2014
    Jonnagaddala J; Jue TR; Ray P; Talaei-Khoei A, 2014, 'Data Sharing Challenges and Recommendations for Human Biorepositories: A Systematic Literature Review', The International Technology Management Review, 4, pp. 68 - 77
    Journal articles | 2014
    Sue D; Ray P; Talaei-Khoei A; Jonnagaddala J; Vichitvanichphong S, 2014, 'Assessing video games to improve driving skills: a literature review and observational study', JMIR serious games, 2, pp. e5 - e5
  • Preprints | 2026
    Alba C; Gollapalli SD; Hakam M; Jonnagaddala J; Ng S-K, 2026, AI-aided Population-Level Comparisons of Early Maladaptive Schemas Between Singaporean and Global Online Communities, http://dx.doi.org/10.21203/rs.3.rs-9546073/v1
    Preprints | 2026
    Dai H-J; Mir TH; Fang L-C; Chen C-T; Feng H-H; Lai J-R; Hsu H-C; Nandy P; Panchal O; Liao W-H; Tien Y-Z; Chen P-Z; Lin Y-R; Jonnagaddala J, 2026, Leveraging State-of-the-Art LLMs for the De-identification of Sensitive Health Information in Clinical Speech, http://dx.doi.org/10.64898/2026.04.13.26349911
    Preprints | 2026
    Guo J; You L; Liu L; Jiao X; Kar D; Jonnagaddala J, 2026, The Effectiveness of Digital Therapeutics Intervention in Oral Anticoagulation Management: A Systematic Review and Meta-analysis, http://dx.doi.org/10.1016/j.mcpdig.2026.100336
    Preprints | 2026
    Hsu H-C; Fang L-C; Mir TH; Chen C-T; Feng H-H; Lai J-R; Nandy P; Panchal O; Liao W-H; Tien Y-Z; Chen P-Z; Lin Y-R; Dai H-J; Jonnagaddala J, 2026, A Clinical Speech Corpus with Temporally Aligned Sensitive Health Information, http://dx.doi.org/10.64898/2026.03.31.26349906
    Preprints | 2026
    Lukitasari M; Argha R; Liaw S-T; Jalaludin B; Rhee J; Jonnagaddala J, 2026, The minimum number of blood pressure measurements needed and thresholds for visit-to-visit blood pressure variability to predict cardiovascular disease in primary care patients, http://dx.doi.org/10.64898/2026.03.02.26347458
    Preprints | 2026
    Lukitasari M; Ning N; Liaw S-T; Jalaludin B; Rhee J; Jonnagaddala J, 2026, Incorporation of Visit-to-Visit Blood Pressure Variability into Cardiovascular Disease Risk Prediction, http://dx.doi.org/10.64898/2026.03.03.26347482
    Preprints | 2026
    Rakhshanda S; Liaw S-T; Rhee J; Rye K-A; Jonnagaddala J, 2026, Predictors of statin intolerance in primary care using real-world data, http://dx.doi.org/10.64898/2026.02.23.26346866
    Preprints | 2026
    Rakhshanda S; Rhee J; Liaw S-T; Rye K-A; Jonnagaddala J, 2026, Interventions to manage intolerance among patients prescribed statins for primary prevention of cardiovascular diseases: A systematic review and meta-analysis, http://dx.doi.org/10.64898/2026.02.23.26346865
    Preprints | 2026
    Rakhshanda S; Rye K-A; Liaw S-T; Rhee J; Jonnagaddala J, 2026, Predictors of statin adherence in primary care using real-world data, http://dx.doi.org/10.64898/2026.02.24.26347032
    Conference Papers | 2026
    Shulajkovska M; Jelenc M; Jonnagaddala J; Gradišek A, 2026, 'Colorectal Cancer Survival Prediction Using Multimodal Fusion', in Studies in Health Technology and Informatics, pp. 87 - 91, http://dx.doi.org/10.3233/SHTI260114
    Reports | 2026
    Williamson M; Conway D; Rhee J; Jonnagaddala J; Barr M, 2026, Understanding Type 2 diabetes care in Central and Eastern Sydney, NSW, International Centre for Future Health Systems, UNSW, Sydney, https://d2xnkjysn6lg7q.cloudfront.net/files/unswPDF/1782352164679-diabetes-report-1_icfhs_2026.pdf
    Conference Abstracts | 2025
    Guo J; Jonnagaddala J, 2025, 'Structuring Asia-Pacific Digital Therapeutics Regulatory Data within the OMOP Common Data Model', Shanghai, China, December 6-7, presented at 2025 OHDSI APAC Symposium, Shanghai, China, December 6-7, 06 December 2025 - 07 December 2025, http://dx.doi.org/10.5281/zenodo.17733575
    Conference Papers | 2025
    Gupta S; Alla NLV; Panchal O; Witowski J; Jonnagaddala J, 2025, 'Evaluation of OpenDeID Pipeline in the 2023 SREDH/AI-Cup Competition for Deidentification of Sensitive Health Information', in Communications in Computer and Information Science, pp. 107 - 119, http://dx.doi.org/10.1007/978-981-97-7966-6_8
    Conference Papers | 2025
    Mir TH; Yang HP; Chou YY; Teng YC; Liao WH; Lin YC; Gupta S; Panchal O; Jonnagaddala J; Chen CT; Dai HJ, 2025, 'Deidentification and Temporal Normalization of the Electronic Health Record Notes Using Large Language Models: The 2023 SREDH/AI-Cup Competition for Deidentification of Sensitive Health Information', in Communications in Computer and Information Science, pp. 1 - 16, http://dx.doi.org/10.1007/978-981-97-7966-6_1
    Preprints | 2025
    Rakhshanda S; Rhee J; Liaw S-T; Rye K-A; Jonnagaddala J, 2025, Electronic health record (EHR)-detectable statin intolerance phenotypes: Prevalence and validation in real-world general practice, http://dx.doi.org/10.1101/2025.11.04.25339533
    Conference Papers | 2025
    Ru ZJ; Panchal O; Chen CT; Jonnagaddala J; Dai HJ; Hsueh SC, 2025, 'Utilizing Large Language Models for Privacy Protection and Advancing Medical Digitization', in Communications in Computer and Information Science, pp. 177 - 188, http://dx.doi.org/10.1007/978-981-97-7966-6_13
    Conference Abstracts | 2025
    Tran M; Rhee J; Jonnagaddala J; McColl A; Devi A; Funnell I; Montague C, 2025, 'From Prompt to Practice: Assessing the Quality and Safety of AI-Generated Medical Information', Geelong, Victoria, presented at Australasian Association for Academic Primary Care, Geelong, Victoria, 11 August 2025 - 12 August 2025
    Conference Proceedings (Editor of) | 2025
    Jonnagaddala J; Dai H-J; Chen C-T; Chang Y-C; Feng H-H, (eds.), 2025, 'Large Language Models for Automatic Deidentification of Sensitive Health Information in Clinical Speech', Taipei, Taiwan,, presented at 2025 International workshop on Deidentification of Electronic Medical Record Notes (2025 IW-DMRN), Taipei, Taiwan,, 10 August 2025, http://dx.doi.org/10.1007/978-981-92-2282-7
    Conference Papers | 2024
    Gupta S; Liu J; Wong ZSY; Jonnagaddala J, 2024, 'Preliminary Evaluation of Fine-Tuning the OpenDeLD Deidentification Pipeline Across Multi-Center Corpora', in Studies in Health Technology and Informatics, pp. 719 - 723, http://dx.doi.org/10.3233/SHTI240515
    Conference Papers | 2024
    Lukitasari M; Jonnagaddala J; Liaw ST; Jalaludin B, 2024, 'Approaches for Evaluating Visit-to-Visit Blood Pressure Variability as a Cardiovascular Disease Risk Factor: A Scoping Review', in Studies in Health Technology and Informatics, pp. 349 - 353, http://dx.doi.org/10.3233/SHTI240417
    Conference Papers | 2024
    Lukitasari M; Jonnagaddala J; Liaw ST; Jalaludin B, 2024, 'Association between Visit to Visit Blood Pressure Variability and Cardiovascular Outcome: A Meta-Analysis', in Studies in Health Technology and Informatics, pp. 262 - 266, http://dx.doi.org/10.3233/SHTI240149
    Conference Papers | 2024
    Lukitasari M; Liaw ST; Jalaludin B; Jonnagaddala J, 2024, 'Visit-to-Visit Blood Pressure Variability in Cardiovascular Disease', in Studies in Health Technology and Informatics, pp. 1358 - 1359, http://dx.doi.org/10.3233/SHTI231193
    Conference Papers | 2024
    Rakhshanda S; Liaw ST; Rhee J; Rye KA; Jonnagaddala J, 2024, 'Strategies to Address Statin Medication Intolerance Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review and Pooled Analysis', in Studies in Health Technology and Informatics, pp. 132 - 136, http://dx.doi.org/10.3233/SHTI240362
    Conference Papers | 2024
    Rakhshanda S; Liaw ST; Rhee J; Rye KA; Jonnagaddala J, 2024, 'Strategies to Improve Statin Medication Adherence Among Patients at Risk of Cardiovascular Disease Identified Through Electronic Health Records: A Literature Review', in Studies in Health Technology and Informatics, pp. 986 - 990, http://dx.doi.org/10.3233/SHTI231112
    Conference Abstracts | 2024
    Simpson I; Rhee J; White S; Jonnagaddala J, 2024, 'Factors Influencing Consultation Length in General Practice: A Rapid Literature Review', UNSW, presented at Randwick Clinical Campus Emerging Researchers Symposium 2024, UNSW, 27 November 2024 - 27 November 2024, http://dx.doi.org/10.26190/unsworks/30749
    Conference Proceedings (Editor of) | 2024
    Jonnagaddala J, (ed.), 2024, 'Large Language Models for Automatic Deidentification of Electronic Health Record Notes', presented at 2024 International Workshop on Deidentification of Electronic Medical Record Notes, 15 January 2024, http://dx.doi.org/10.1007/978-981-97-7966-6
    Conference Abstracts | 2023
    Jiayue W; Sitas F; Jonnagaddala J, 2023, 'Systematic data quality assessment of general practitioner collected smoking information on smoking-associated disease risks', in 2023 OHDSI APAC Symposium, University of New South Wales Sydney, Australia, presented at 2023 OHDSI APAC Symposium, University of New South Wales Sydney, Australia, 13 July 2023 - 14 July 2023, http://dx.doi.org/10.5281/zenodo.10622474
    Reports | 2023
    Lukitasari M; Jonnagaddala J; Liaw S-T; Jalaludin B, 2023, Association between visit-to-visit (VVV) blood pressure variability and cardiovascular disease in adult comparison between data from electronic health record (EHR) and non-EHR data : A systematic review and meta-analysis protocol
    Conference Papers | 2023
    Lukitasari M; Liaw S-T; Jalaludin B; Jonnagaddala J, 2023, 'Visit to Visit Blood Pressure Variability and Cardiovascular Disease', in Bichel-Findlay J; Otero P; Scott P; Huesing E (eds.), IOS Press, ICC Sydney, presented at MEDINFO 2023, ICC Sydney, 08 July 2023 - 12 July 2023, http://dx.doi.org/10.3233/SHTI310
    Conference Abstracts | 2023
    Lukitasari M; Liaw S-T; Jalaludin B; Jonnagaddala J, 2023, 'Visit to Visit Blood Pressure Variability and Cardiovascular Disease', ICC Sydney, presented at MEDINFO 2023, ICC Sydney, 08 July 2023 - 12 July 2023, http://dx.doi.org/10.26190/unsworks/28721
    Reports | 2022
    Craig A; Beek K; Godinho M; Ansari S; Jonnagaddala J; Linhart C; Hall J; Liaw T, 2022, Digital health and universal health coverage: opportunities and policy considerations for Pacific Island health authorities, WHO, New Delhi, India, http://dx.doi.org/10.26190/unsworks/28338, https://apo.who.int/publications/i/item/digital-health-and-universal-health-coverage-opportunities-and-policy-considerations-for-pacific-island-health-authorities
    Preprints | 2021
    Banda J; Adderley N; Ahmed W-U-R; AlGhoul H; Alser O; Alser M; Areia C; Cogenur M; Fišter K; Gombar S; Huser V; Jonnagaddala J; Lai LYH; Leis A; Mateu L; Mayer MA; Minty E; Morales D; Natarajan K; Paredes R; Periyakoil V; Prats-Uribe A; Ross E; Singh G; Subbian V; Vivekanantham A; Prieto-Alhambra D, 2021, Characterization of long-term patient-reported symptoms of COVID-19: an analysis of social media data, http://dx.doi.org/10.1101/2021.07.13.21260449
    Conference Abstracts | 2021
    Lu Y; Li J; Wang X; Dorajoo S; Feng M; Hsu M-H; Hsu JCC; Hwang J; Iqbal U; Chen ZJ; Jonnagaddala J; Li Y-CY; Liaw T; Ngiam KY; Nguyen P-A; Park RW; Pratt N; Reich C; Rhee SY; Sathappan SM; Tan HX; You SC; Zhang X; Krumholz HM; Suchard M; Liu Y; Zandt MV; Xu H, 2021, 'Abstract 14094: Characterizing Dual Combination Therapy Use In Treatment Escalation Of Hypertension: Real-world Evidence From Multinational Cohorts', in Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 144, http://dx.doi.org/10.1161/circ.144.suppl_1.14094
    Conference Papers | 2021
    Lu Y; Li J; Wang X; Dorajoo S; Feng M; Hsu M-H; Hsu JCC; Hwang J; Iqbal U; Chen ZJ; Jonnagaddala J, 2021, 'Characterizing Dual Combination Therapy Use In Treatment Escalation Of Hypertension: Real-world Evidence From Multinational Cohorts', in CIRCULATION, LIPPINCOTT WILLIAMS & WILKINS, MA, Boston, presented at Annual Scientific Sessions of the American-Heart-Association / Resuscitation Science Symposium, MA, Boston, 12 November 2021 - 15 November 2021
    Conference Papers | 2021
    Prats-Uribe A; Sena AG; Lai LYH; Ahmed W-U-R; Alghoul H; Alser O; Alshammari TM; Areia C; Carter WA; Casajust P; Dawoud D; Golozar A; Jonnagaddala J; Mehta P; Mengchun G; Morales DR; Nyberg F; Posada JD; Recalde M; Roel E; Shah K; Shah NH; Schilling LM; Subbian V; Vizcaya D; Zhang L; Zhang Y; Zhu H; Liu L; You SC; Rijnbeek PR; Hripcsak G; Lane J; Burn E; Reich C; Suchard MA; Duartes-Salles T; Kostka K; Ryan P; Prieto-Alhambra D, 2021, 'Heterogeneity and temporal variation in the management of COVID-19: A multinational drug utilisation study including 274,719 hospitalised patients from, the United States of America, China, Spain, and South Korea', in PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, WILEY, pp. 78 - 79, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000687807300157&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Preprints | 2020
    Golozar A; Lai LY; Sena AG; Vizcaya D; Schilling LM; Huser V; Nyberg F; Duvall SL; Morales DR; Alshammari TM; Abedtash H; Ahmed W-U-R; Alser O; Alghoul H; Zhang Y; Gong M; Guan Y; Areia C; Jonnagaddala J; Shah K; Lane JCE; Prats-Uribe A; Posada JD; Shah NH; Subbian V; Zhang L; Abrahão MTF; Rijnbeek PR; You SC; Casajust P; Roel E; Recalde M; Fernández-Bertolín S; Andryc A; Thomas JA; Wilcox AB; Fortin S; Blacketer C; DeFalco F; Natarajan K; Falconer T; Spotnitz M; Ostropolets A; Hripcsak G; Suchard M; Lynch KE; Matheny ME; Williams A; Reich C; Duarte-Salles T; Kostka K; Ryan PB; Prieto-Alhambra D, 2020, Baseline phenotype and 30-day outcomes of people tested for COVID-19: an international network cohort including >3.32 million people tested with real-time PCR and >219,000 tested positive for SARS-CoV-2 in South Korea, Spain and the United States., http://dx.doi.org/10.1101/2020.10.25.20218875
    Conference Papers | 2020
    Ostropolets A; Reich C; Ryan P; Weng C; Molinaro A; DeFalco F; Jonnagaddala J; Liaw ST; Jeon H; Park RW; Spotnitz ME; Natarajan K; Argyriou G; Kostka K; Miller R; Williams A; Minty E; Posada J; Hripcsak G, 2020, 'Characterizing database granularity using SNOMED-CT hierarchy', in AMIA Annual Symposium Proceedings AMIA Symposium, pp. 983 - 992
    Conference Papers | 2020
    Raju A; Yao J; Haq MMH; Jonnagaddala J; Huang J, 2020, 'Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 529 - 539, http://dx.doi.org/10.1007/978-3-030-59722-1_51
    Conference Papers | 2019
    Chen A; Jonnagaddala J; Nekkantti C; Liaw S-T, 2019, 'Generation of Surrogates for De-Identification of Electronic Health Records.', in MedInfo, pp. 70 - 73
    Conference Abstracts | 2019
    Liaw S-T; Guo G; Yeoh S-L; Jonnagaddala J, 2019, 'Opioids in general practice: use or abuse', in AUSTRALIAN JOURNAL OF PRIMARY HEALTH, CSIRO PUBLISHING UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10 …, Vol. 25, pp. XXXII - XXXIII, CSIRO PUBLISHING UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10 …
    Reports | 2019
    Liaw T; Ansari S; Jonnagaddala J; Narasimhan P; Ashraf MM; Harris-Roxas B; Harris M, 2019, A review of the use of mHealth to promote healthy ageing and support the delivery of age-friendly health care services in the Western Pacific Region
    Conference Papers | 2018
    Chang N-W; Jonnagaddala J; Wang F-D; Dai H-J, 2018, 'A study on identification of organism and micro-RNA mentions in figure captions', in Proceedings of the BioCreative VI Challenge and Workshop (October 18–20). DoubleTree by Hilton Hotel, Bethesda, Maryland, USA, pp. 28 - 31
    Conference Papers | 2018
    Chen A; Zhang Y; Jonnagaddala J, 2018, 'Action tremor detection in Parkinson’s disease patients using smartphone based sensor data', in 2017 Parkinson’s Disease Digital Biomarker DREAM Challenge, http://doi.org/10.7303/syn11423921, http://doi.org/10.7303/syn11423921
    Conference Papers | 2018
    Chen EZ-Y; Singh O; Jue TR; Wang C-K; Jonnagaddala J; Dai H-J, 2018, 'Identifying Mutation-induced Protein-Protein Interactions in Scientific Literature', in Proceedings of the BioCreative VI Challenge Evaluation Workshop
    Conference Abstracts | 2018
    Godinho M; Jonnagaddala J; Gudi N; Narasimhan P; Liaw S-T, 2018, 'mHealth for integrated service delivery in the Western Pacific Region: A Systematic Review', Colombo, Sri Lanka, presented at 10th Biennial Conference of the Asia Pacific Association for Medical Informatics (APAMI 2018), Colombo, Sri Lanka, 09 October 2018 - 11 October 2018, http://dhw2018.org/apami2018/download/2588/
    Conference Papers | 2018
    Liyanage H; Liaw S-T; Jonnagaddala J; Hinton W; de LUSIGNAN S, 2018, 'Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs.', in EFMI-STC, pp. 60 - 64
    Conference Papers | 2017
    Adam DC; Jonnagaddala J; Han-Chen D; Batongbacal S; Almeida L; Zhu JZ; Yang JJ; Mundekkat JM; Badman S; Chughtai A; others , 2017, 'ZikaHack 2016: A digital disease detection competition', in Proceedings of the International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017), pp. 39 - 46
    Conference Papers | 2017
    Huang Y-J; Su CH; Chang Y-C; Ting T-H; Fu T-Y; Wang R-M; Dai H-J; Chang Y-C; Jonnagaddala J; Hsu W-L, 2017, 'Incorporating dependency trees improve identification of pregnant women on social media platforms', in Proceedings of the International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017), pp. 26 - 32
    Conference Papers | 2017
    Jonnagaddala J; Dai H-J; Wang C-K; Lai P-T, 2017, 'Performance and interoperability assessment of Disease Extract Annotation Server (DEAS)', in Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, Barcelona, Spain, April 26-27, 2017
    Conference Papers | 2017
    Jonnagaddala J; Dai HJ; Chang YC, 2017, 'Introduction', in Dddsm 2017 1st International Workshop on Digital Disease Detection Using Social Media Proceedings of the Workshop, pp. iii
    Conference Papers | 2017
    Jonnagaddala J; Hu F, 2017, 'Automatic coding of death certificates to ICD-10 terminology', in In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation forum, Dublin, Ireland, September 11-14, 2017
    Conference Proceedings (Editor of) | 2017
    Jonnagaddala J; Dai H-J; Chang Y-C, (eds.), 2017, 'Proceedings of the International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017)', presented at International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017), 27 November 2017, https://aclanthology.org/volumes/W17-58/
    Conference Papers | 2016
    Jonnagaddala J; Croucher JL; Jue TR; Meagher NS; Caruso L; Ward R; Hawkins NJ, 2016, 'Integration and Analysis of Heterogeneous Colorectal Cancer Data for Translational Research', in Nursing Informatics 2016, pp. 387 - 387
    Conference Papers | 2016
    Jonnagaddala J; Jue TR; Dai H-J, 2016, 'Binary classification of Twitter posts for adverse drug reactions', in Proceedings of the Social Media Mining Shared Task Workshop at the Pacific Symposium on Biocomputing
    Conference Papers | 2015
    Jonnagaddala J; Chang N-W; Jue TR; Dai H-J, 2015, 'Recognition and normalization of disease mentions in PubMed abstracts', in Proceedings of the fifth BioCreative challenge evaluation workshop, Sevilla, Spain, September 9-11, 2015.
    Conference Abstracts | 2015
    Jonnagaddala J; Croucher JL; Meagher NS; Kumar M; Caruso L; Jue TR; London J; Ward RL; Hawkins NJ, 2015, 'Supporting translational research: Accessing colorectal cancer research data', in Australian Open Research Data Showcase, Canberra, Australia, http://dx.doi.org/10.26190/unsworks/25673
    Conference Papers | 2015
    Jonnagaddala J; Dai H-J; Ray P; Liaw S-T, 2015, 'A preliminary study on automatic identification of patient smoking status in unstructured electronic health records', in Proceedings of BioNLP 15, pp. 147 - 151
    Conference Papers | 2015
    Jonnagaddala J; Liaw S-T; Rayb P; Kumarc M; Dai H-J, 2015, 'TMUNSW: Identification of disorders and normalization to SNOMED-CT terminology in unstructured clinical notes', in 9th International Workshop on Semantic Evaluations.
    Conference Papers | 2015
    Jonnagaddala J; Liaw ST; Ray P; Liaw T, 2015, 'Impact of data quality assessment on development of clinical predictive models.', in Sarkar IN; Georgiou A; Marques PMD (eds.), Studies in health technology and informatics, IOS Press, BRAZIL, Int Med Informat Assoc, Brazilian Hlth Informat Soc, Sao Paulo, pp. 1069 - 1069, presented at 15th World Congress on Health and Biomedical Informatics (MEDINFO), BRAZIL, Int Med Informat Assoc, Brazilian Hlth Informat Soc, Sao Paulo, 19 August 2015 - 23 August 2015, http://dx.doi.org/10.3233/978-1-61499-564-7-1069
    Conference Papers | 2015
    Lin W-S; Dai H-J; Jonnagaddala J; Chang N-W; Jue TR; Iqbal U; Shao JY-H; Chiang I-J; Li Y-C, 2015, 'Utilizing different word representation methods for twitter data in adverse drug reactions extraction', in 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), IEEE, pp. 260 - 265, IEEE
    Conference Papers | 2014
    Jonnagaddala J; Kumar M; Dai H-J; Rachmani E; Hsu C-Y, 2014, 'TMUNSW: Disorder Concept Recognition and Normalization in Clinical Notes for SemEval-2014 Task 7', in 8th International Workshop on Semantic Evaluation (SemEval 2014), Dublin, Ireland, August 23-24, 2014., ACL Anthology, pp. 663 - 667, ACL Anthology
    Conference Papers | 2014
    Jonnagaddala J; Liaw S-T; Ray P; Kumar M; Dai H-J, 2014, 'HTNSystem: Hypertension Information Extraction System for Unstructured Clinical Notes', in Technologies and Applications of Artificial Intelligence, Taipei, Taiwan, 21-23 November 2014, Springer International Publishing, pp. 219 - 227, Springer International Publishing
    Conference Abstracts | 2014
    Meagher NS; Scott G; Hettiaratchi A; Schwensen J; Jonnagaddala J; Caruso L; Ward RL; Crowe P; Salisbury E; Liauw W; others ; Hawkins N, 2014, 'Two years, fifteen hundred consents and counting. Integrating the HSA Biobank within routine clinical practice within the SESLHD.', in Innovations in Cancer Treatment and Care, Sydney, Australia, 17 October 2014., http://dx.doi.org/10.26190/unsworks/25702
    Conference Abstracts | 2014
    Sue D; Ray P; Talaei-Khoei A; Jonnagaddala J, 2014, 'An initial proof of concept for Xbox Kinect as an alternative technology designed to improve driving performance of seniors', in 9th World Conference of Gerontechnology (ISG 2014), Taipei, Taiwan, June 18-21, 2014., Vol. 13, pp. 283 - 283
    Conference Papers | 2013
    Jonnagaddala J; Li J; Ray P, 2013, 'Evaluation of caBIG¯ caTissue Software', in World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China, Springer, Berlin, Heidelberg, pp. 1592 - 1595, Springer, Berlin, Heidelberg
    Reports | 2013
    Jonnagaddala J; Sue D, 2013, A Report on the Workshop on Biobanking Informatics

My Research Supervision


Mifetika Lukitasari   (PhD )

Shagoofa Rakhshanda (PhD )

Irene Simpson (PhD)

Miljana Shulajkovska(PhD)

Jiayue Guo (PhD)