By Dr Jitendra Jonnagaddala

Journal articles

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Conference Papers

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

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

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

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

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

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

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

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

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

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

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