Dr Jitendra Jonnagaddala

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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
International Medical Informatics association
International Society for Disease Surveillance

Specific Research Keywords:
EHR, Digital Health, health informatics, health data science, predictive modeling, outbreak detection, risk assessment, data anonymization

E-mail

z3339253@unsw.edu.au

Book Chapters | 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 , pp. 107 - 119, http://dx.doi.org/10.1007/978-981-97-7966-6_8

Book Chapters | 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 , pp. 1 - 16, http://dx.doi.org/10.1007/978-981-97-7966-6_1

Book Chapters | 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 , pp. 177 - 188, http://dx.doi.org/10.1007/978-981-97-7966-6_13

Book Chapters | 2024

Gupta S; Liu J; Wong ZSY; Jonnagaddala J, 2024, 'Preliminary Evaluation of Fine-Tuning the OpenDeLD Deidentification Pipeline Across Multi-Center Corpora', in , pp. 719 - 723, http://dx.doi.org/10.3233/SHTI240515

Book Chapters | 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 , pp. 349 - 353, http://dx.doi.org/10.3233/SHTI240417

Book Chapters | 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 , pp. 262 - 266, http://dx.doi.org/10.3233/SHTI240149

Book Chapters | 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 , pp. 132 - 136, http://dx.doi.org/10.3233/SHTI240362

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 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
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; 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

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

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 K-H; 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.', J Clin Oncol, pp. JCO2401501, http://dx.doi.org/10.1200/JCO-24-01501

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', The Lancet Digital Health, 6, pp. e33 - e43, http://dx.doi.org/10.1016/S2589-7500(23)00208-X

Journal articles | 2024

Phelps NH; Singleton RK; Zhou B; Heap RA; Mishra A; Bennett JE; Paciorek CJ; Lhoste VP; Carrillo-Larco RM; Stevens GA; Rodriguez-Martinez A; Bixby H; Bentham J; Di Cesare M; Danaei G; Rayner AW; Barradas-Pires A; Cowan MJ; Savin S; Riley LM; Aguilar-Salinas CA; Baker JL; Barkat A; Bhutta ZA; Branca F; Caixeta RB; Cuschieri S; Farzadfar F; Ganapathy S; Ikeda N; Iotova V; Kengne AP; Khang YH; Laxmaiah A; Lin HH; Ma J; Mbanya JCN; Miranda JJ; Pradeepa R; Rodríguez-Artalejo F; Sorić M; Turley M; Wang L; Webster-Kerr K; Aarestrup J; Abarca-Gómez L; Abbasi-Kangevari M; Abdeen ZA; Abdrakhmanova S; Abdul Ghaffar S; Abdul Rahim HF; Abdurrahmonova Z; Abu-Rmeileh NM; Abubakar Garba J; Acosta-Cazares B; Adam I; Adamczyk M; Adams RJ; Adu-Afarwuah S; Aekplakorn W; Afsana K; Afzal S; Agbor VN; Agdeppa IA; Aghazadeh-Attari J; Ågren Å; Aguenaou H; Agyemang C; Ahmad MH; Ahmad NA; Ahmadi A; Ahmadi N; Ahmadi N; Ahmed I; Ahmed SH; Ahrens W; Aitmurzaeva G; Ajlouni K; Al-Hazzaa HM; Al-Hinai H; Al-Lahou B; Al-Lawati JA; Al-Raddadi R; Al Asfoor D; Al Hourani HM; Al Qaoud NM; Alarouj M; AlBuhairan F; AlDhukair S; Aldwairji MA; Alexius S; Ali MM; Alieva AV; Alkandari A; Alkerwi A; Alkhatib BM; Allin K; Alomary SA; Alomirah HF; Alshangiti AM, 2024, 'Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults', The Lancet, 403, pp. 1027 - 1050, http://dx.doi.org/10.1016/S0140-6736(23)02750-2

Journal articles | 2024

Sunjaya AP; Godinho MA; Jonnagaddala J; Kuziemsky C; Tu K; Islam R; Okui T; Nakashima N; Silva-Valencia J; Rojas-Mezarina L; Marcelo A; Wye SWK; Hsu CY; Hoang U; Westfall J; de Lusignan S; Liaw ST, 2024, '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 | 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', , http://dx.doi.org/10.48550/arxiv.2302.10406

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, 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

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

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

Lu Y; Li J; Wang X; Cho J; Dorajoo SR; Feng M; Hsu M-H; Hsu J; Hwang J; Iqbal U; Jason CZ; Jonnagaddala J; Li Y-C; Liaw S-T; Lim H-S; Ngiam KY; Nguyen P-A; Park RW; Pratt N; Reich C; Rhee SY; Kumaran Sathappan SM; Shin SJ; Tan HX; You SC; Zhang X; Krumholz H; Suchard M; Liu Y; Van Zandt M; Xu H, 2021, 'Characterizing Dual Combination Therapy Use in Treatment Escalation of Hypertension: Real-World Evidence from Multinational Cohorts', , http://dx.doi.org/10.1101/2021.06.28.21258167

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', The 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

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.', medRxiv, http://dx.doi.org/10.1101/2020.10.25.20218875

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

Lai LYH; Golozar A; Sena AG; Margulis AV; Haro N; Casajust P; Valveny N; Prats-Uribe A; Minty EP; Ahmed W-U-R; Alshammari TM; Morales DR; Alghoul H; Alser O; Dawoud D; Zhang L; Posada JD; Shah N; Blacketer C; Areia C; Subbian V; Nyberg F; Lane JCE; Suchard MA; Gong M; Recalde M; Jonnagaddala J; Shah K; Roel E; Vizcaya D; Fortin S; Cheng R-FJ; Reich C; Hripcsak G; Rijnbeek P; Ryan PB; Kostka K; Duarte-Salles T; PRIETO-ALHAMBRA D, 2020, 'Clinical characteristics, symptoms, management and health outcomes in 8,598 pregnant women diagnosed with COVID-19 compared to 27,510 with seasonal influenza in France, Spain and the US: a network cohort analysis', medRxiv, http://dx.doi.org/10.1101/2020.10.13.20211821

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

Prats-Uribe A; G. Sena A; Yin Hui Lai L; Ahmed W-U-R; Alghoul H; Alser O; Alshammari TM; Areia C; Carter W; Casajust P; Dawoud D; Golozar A; Jonnagaddala J; Mehta P; Menchung G; Morales DR; Nyberg F; Posada JD; Recalde M; Roel E; Shah K; Shah N; Schilling LM; Subbian V; Vizcaya D; Williams A; Zhang L; Zhang Y; Zhu H; Liu L; Rijnbeek P; Hripcsak G; Lane JCE; Burn E; Reich C; Suchard MA; Duarte-Salles T; Kostka K; Ryan PB; PRIETO-ALHAMBRA D, 2020, 'Heterogeneity and temporal variation in the management of COVID-19: a multinational drug utilization study including 71,921 hospitalized patients from China, South Korea, Spain, and the United States of America', medRxiv, http://dx.doi.org/10.1101/2020.09.15.20195545

Journal articles | 2020

Reps JM; Kim C; Williams RD; Markus AF; Yang C; Salles TD; Falconer T; Jonnagaddala J; Williams A; Fernandez-Bertolin S; others , 2020, 'Can we trust the prediction model? Demonstrating the importance of external validation by investigating the COVID-19 Vulnerability (C-19) Index across an international network of observational healthcare datasets', medRxiv

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

Williams RD; Markus AF; Yang C; Salles TD; Falconer T; Jonnagaddala J; Kim C; Rho Y; Williams A; An MH; others , 2020, 'Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network', medRxiv

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

Fitzmaurice C; Akinyemiju TF; Al Lami FH; Alam T; Alizadeh-Navaei R; Allen C; Alsharif U; Alvis-Guzman N; Amini E; Anderson BO; Aremu O; Artaman A; Asgedom SW; Assadi R; Atey TMH; Avila-Burgos L; Awasthi A; Saleem HO; Barac A; Bennett JR; Bensenor IM; Bhakta N; Brenner H; Cahuana-Hurtado L; Castañeda-Orjuela CA; Catalá-López F; Choi JYJ; Christopher DJ; Chung SC; Curado MP; Dandona L; Dandona R; Das Neves J; Dey S; Dharmaratne SD; Doku DT; Driscoll TR; Dubey M; Ebrahimi H; Edessa D; El-Khatib Z; Endries AY; Fischer F; Force LM; Foreman KJ; Gebrehiwot SW; Gopalani SV; Grosso G; Gupta R; Gyawali B; Hamadeh RR; Hamidi S; Harvey J; Hassen HY; Hay RJ; Hay SI; Heibati B; Hiluf MK; Horita N; Hosgood HD; Ilesanmi OS; Innos K; Islami F; Jakovljevic MB; Johnson SC; Jonas JB; Kasaeian A; Kassa TD; Khader YS; Khan EA; Khan G; Khang YH; Khosravi MH; Khubchandani J; Kopec JA; Kumar GA; Kutz M; Lad DP; Lafranconi A; Lan Q; Legesse Y; Leigh J; Linn S; Lunevicius R; Majeed A; Malekzadeh R; Malta DC; Mantovani LG; McMahon BJ; Meier T; Melaku YA; Melku M; Memiah P; Mendoza W; Meretoja TJ; Mezgebe HB; Miller TR; Mohammed S; Mokdad AH; Moosazadeh M, 2018, 'Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2016 a systematic analysis for the global burden of disease study global burden of disease cancer collaboration', JAMA Oncology, 4, pp. 1553 - 1568, http://dx.doi.org/10.1001/jamaoncol.2018.2706

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, pp. baw111 - baw111

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
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

Preprints | 2023

Cen M; Li X; Guo B; Jonnagaddala J; Zhang H; Xu XS, 2023, DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture, , http://dx.doi.org/10.48550/arxiv.2305.01968

Preprints | 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, , http://dx.doi.org/10.48550/arxiv.2302.10406

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 Posters | 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

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, https://apo.who.int/publications/i/item/digital-health-and-universal-health-coverage-opportunities-and-policy-considerations-for-pacific-island-health-authorities

Preprints | 2022

Guo B; Li X; Jonnagaddala J; Zhang H; Xu XS, 2022, Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer, , http://dx.doi.org/10.48550/arxiv.2208.10495

Preprints | 2022

Li X; Jonnagaddala J; Cen M; Zhang H; Xu XS, 2022, Colorectal cancer survival prediction using deep distribution based multiple-instance learning, , http://dx.doi.org/10.48550/arxiv.2204.11294

Preprints | 2022

Liu A; Li X; Wu H; Guo B; Jonnagaddala J; Zhang H; Xu XS, 2022, Prognostic Significance of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images in Colorectal Cancers, , http://dx.doi.org/10.48550/arxiv.2208.11518

Reports | 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, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000752020008052&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

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

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 …

Conference Abstracts | 2019

Liaw T; Ansari S; Jonnagaddala J; Narasimhan P; Ashraf M; Harris-Roxas B; Harris M, 2019, 'Use of mHealth to promote healthy ageing and support delivery of age-friendly health and long-term care services - A systematic review', International Foundation for Integrated Care, San Sebastian, Spain, presented at 19th International Conference on Integrated Care, San Sebastian, Spain, 01 April 2019 - 03 April 2019, https://integratedcarefoundation.org/events/icic19-19th-international-conference-on-integrated-care-san-sebastian-basque-country

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, 2017 Parkinson’s Disease Digital Biomarker DREAM Challenge, http://doi.org/10.7303/syn11423921, presented at 2017 Parkinson’s Disease Digital Biomarker DREAM Challenge, http://doi.org/10.7303/syn11423921, 19 November 2018 - 19 June 2018, http://dx.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 Proceedings (Editor of) | 2017

Jonnagaddala J; Dai H-J; Chang Y-C, 2017, 'Proceedings of the International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017)'

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, BioCreative V.5 Challenge Evaluation Workshop,, Barcelona, Spain,, presented at BioCreative V.5 Challenge Evaluation Workshop,, Barcelona, Spain,, 26 April 2017 - 27 April 2017, http://www.biocreative.org/media/store/files/2017/BioCreative_V5_paper21.pdf

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 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

Reports | 2016

2016, Sydney Statement on Employee Health and Well-being

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

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.

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)

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