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

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, http://dx.doi.org/10.3233/978-1-61499-921-8-60

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

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, CLEF, CLEF

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), The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)., Taipei, Taiwan, pp. 39 - 46, presented at The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)., Taipei, Taiwan, 27 November 2017 - 01 December 2017, https://aclanthology.info/papers/W17-5806/w17-5806

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), The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)., Taipei, Taiwan, pp. 26 - 32, presented at The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)., Taipei, Taiwan, 27 November 2017 - 01 December 2017, https://aclanthology.info/papers/W17-5804/w17-5804

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

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, http://dx.doi.org/10.3233/978-1-61499-658-3-387

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.

Jonnagaddala J; Liaw ST; Ray P, 2015, 'Impact of data quality assessment on development of clinical predictive models.', in Studies in health technology and informatics, pp. 1069 - 1069, http://dx.doi.org/10.3233/978-1-61499-564-7-1069

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

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.

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, http://dx.doi.org/10.1109/TAAI.2015.7407070

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

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

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, http://dx.doi.org/10.1007/978-3-642-29305-4_418