By Dr Jitendra Jonnagaddala

Journal articles

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

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

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

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

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