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, vol. 65, http://dx.doi.org/10.1016/j.media.2020.101789
Godinho MA; Jonnagaddala J; Gudi N; Islam R; Narasimhan P; Liaw ST, 2020, 'mHealth for Integrated People-Centred Health Services in the Western Pacific: A Systematic Review', International Journal of Medical Informatics, vol. 142, pp. 104259 - 104259, http://dx.doi.org/10.1016/j.ijmedinf.2020.104259
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, vol. 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, vol. 107, pp. 103438 - 103438, http://dx.doi.org/10.1016/j.jbi.2020.103438
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', bioRxiv
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
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
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
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
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
Liyanage H; Liaw S-T; Jonnagaddala J; Schreiber R; Kuziemsky C; Terry AL; de Lusignan S, 2019, 'Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges', Yearbook of medical informatics, vol. 28, pp. 041 - 046, http://dx.doi.org/10.1055/s-0039-1677901
Vo K; Jonnagaddala J; Liaw S-T, 2019, 'Statistical supervised meta-ensemble algorithm for medical record linkage', Journal of biomedical informatics, vol. 95, pp. 103220 - 103220, http://dx.doi.org/10.1016/j.jbi.2019.103220
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, vol. 2019, http://dx.doi.org/10.1093/database/baz030
Fitzmaurice C; Abate D; Abbasi N; Abbastabar H; Abd-Allah F; Abdel-Rahman O; Abdelalim A; Abdoli A; Abdollahpour I; Abdulle ASM; others ; Sitas F, 2019, '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 2017: a systematic analysis for the global burden of disease study', JAMA oncology, vol. 5, pp. 1749 - 1768, http://dx.doi.org/10.1001/jamaoncol.2019.2996
Liyanage H; Liaw S-T; Jonnagaddala J; Schreiber R; Kuziemsky C; Terry AL; de Lusignan S, 2019, 'Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges', Yearbook of medical informatics, vol. 28, pp. 041 - 046
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, vol. 26, pp. 1237 - 1246, http://dx.doi.org/10.1093/jamia/ocz143
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, vol. 34, pp. 1962 - 1965, http://dx.doi.org/10.1093/bioinformatics/bty009
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, vol. 13, pp. e0204493 - e0204493, http://dx.doi.org/10.1371/journal.pone.0204493
Lozano R; Fullman N; Abate D; Abay SM; Abbafati C; Abbasi N; Abbastabar H; Abd-Allah F; Abdela J; Abdelalim A; others , 2018, 'Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017', The Lancet, vol. 392, pp. 2091 - 2138, http://dx.doi.org/10.1016/S0140-6736(18)32281-5
Stanaway JD; Afshin A; Gakidou E; Lim SS; Abate D; Abate KH; Abbafati C; Abbasi N; Abbastabar H; Abd-Allah F; others , 2018, 'Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017', The Lancet, vol. 392, pp. 1923 - 1994, http://dx.doi.org/10.1016/S0140-6736(18)32225-6
Kyu HH; Abate D; Abate KH; Abay SM; Abbafati C; Abbasi N; Abbastabar H; Abd-Allah F; Abdela J; Abdelalim A; others , 2018, 'Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017', The Lancet, vol. 392, pp. 1859 - 1922, http://dx.doi.org/10.1016/S0140-6736(18)32335-3
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, vol. 75, pp. S149 - S159, http://dx.doi.org/10.1016/j.jbi.2017.08.009
Dai H-J; Touray M; Jonnagaddala J; Syed-Abdul S, 2016, 'Feature engineering for recognizing adverse drug reactions from twitter posts', Information, vol. 7, pp. 27 - 27, http://dx.doi.org/10.3390/info7020027
Dai H-J; Singh O; Jonnagaddala J; Su EC-Y, 2016, 'NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions', Database, vol. 2016, pp. baw111 - baw111
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, vol. 2016, http://dx.doi.org/10.1093/database/baw090
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, vol. 2016, http://dx.doi.org/10.1093/database/baw121
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, vol. 2016, http://dx.doi.org/10.1093/database/baw112
Jonnagaddala J; Liaw S-T; Ray P; Kumar M; Dai H-J, 2015, 'Identification and progression of heart disease risk factors in diabetic patients from longitudinal electronic health records.', BioMed Research International, vol. 2015, http://dx.doi.org/10.1155/2015/636371
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, vol. 58, pp. S203 - S210, http://dx.doi.org/10.1016/j.jbi.2015.08.003
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, vol. 58, pp. S150 - S157, http://dx.doi.org/10.1016/j.jbi.2015.09.013
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, vol. 58, pp. S203 - S210
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, vol. 4, pp. 68 - 77
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, vol. 2, pp. e5 - e5, http://dx.doi.org/10.2196/games.3274