Jonnagaddala J; Chen A; Batongbacal S; Nekkantti C, 2021, 'The OpenDeID corpus for patient de-identification', Scientific Reports, vol. 11, http://dx.doi.org/10.1038/s41598-021-99554-9

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', Circulation, vol. 144, pp. a14094 - a14094, http://dx.doi.org/10.1161/circ.144.suppl_1.14094

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, vol. 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, vol. 154, http://dx.doi.org/10.1016/j.ijmedinf.2021.104569

Kinyoki D; Osgood-Zimmerman AE; Bhattacharjee NV; Schaeffer LE; Lazzar-Atwood A; Lu D; Ewald SB; Donkers KM; Letourneau ID; Collison M; Schipp MF; Abajobir A; Abbasi S; Abbasi N; Abbasifard M; Abbasi-Kangevari M; Abbastabar H; Abd-Allah F; Abdelalim A; Abd-Elsalam SM; Abdoli A; Abdollahpour I; Abedi A; Abolhassani H; Abraham B; Abreu LG; Abrigo MRM; Abualhasan A; Abu-Gharbieh E; Abushouk AI; Accrombessi MMK; Adabi M; Adebayo OM; Adegbosin AE; Adekanmbi V; Adetokunboh OO; Adeyinka DA; Adham D; Advani SM; Agasthi P; Aghaali M; Ahmad S; Ahmad T; Ahmadi K; Ahmadi S; Ahmed MB; Aichour MTE; Aji B; Akinyemi OO; Aklilu A; Akunna CJ; Al-Aly Z; Alanzi TM; Alcalde-Rabanal JE; Alemu BW; Alemu A; Alhassan RK; Alif SM; Alipour V; Alizade H; Aljunid SM; Almasi-Hashiani A; Al-Mekhlafi HM; Al-Raddadi RM; Alvis-Guzman N; Amini S; Amiri F; Amugsi DA; Anber NH; Ancuceanu R; Andrei T; Anegago MT; Anjomshoa M; Ansari F; Ansari-Moghaddam A; Anteneh ZA; Antriyandarti E; Anvari D; Anwer R; Aqeel M; Arabloo J; Arab-Zozani M; Aremu O; Areri HA; Artaman A; Arzani A; Asaad M; Asadi-Aliabadi M; Asadi-Pooya AA; Asemahagn MA; Asghari Jafarabadi M; Ashebir MM; Ataro Z; Athari SM; Athari SS; Atout MMW; Ausloos M; Awoke N; Ayala Quintanilla BP; Ayano G, 2021, 'Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018', Nature Medicine, vol. 27, pp. 1761 - 1782, http://dx.doi.org/10.1038/s41591-021-01498-0

Pickering B; Biro T; Austin CC; 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, vol. 1, pp. 69 - 69, http://dx.doi.org/10.12688/openreseurope.13369.1

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, vol. 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, vol. 9, http://dx.doi.org/10.2196/21547

Iurilli MLC; Zhou B; Bennett JE; Carrillo-Larco RM; Sophiea MK; Rodriguez-Martinez A; Bixby H; Solomon BD; Taddei C; Danaei G; Di Cesare M; Stevens GA; Riley LM; Savin S; Cowan MJ; Bovet P; Damasceno A; Chirita-Emandi A; Hayes AJ; Ikeda N; Jackson RT; Khang YH; Laxmaiah A; Liu J; Miranda JJ; Saidi O; Sebert S; Sorić M; Starc G; Gregg EW; Abarca-Gómez L; Abdeen ZA; Abdrakhmanova S; Ghaffar SA; Rahim HFA; Abu-Rmeileh NM; Garba JA; Acosta-Cazares B; Adams RJ; Aekplakorn W; Afsana K; Afzal S; Agdeppa IA; Aghazadeh-Attari J; Aguilar-Salinas CA; Agyemang C; Ahmad MH; Ahmad NA; Ahmadi A; Ahmadi N; Ahmed SH; Ahrens W; Aitmurzaeva G; Ajlouni K; Al-Hazzaa HM; Al-Lahou B; Al-Raddadi R; Alarouj M; AlBuhairan F; AlDhukair S; Ali MM; Alkandari A; Alkerwi A; Allin K; Alvarez-Pedrerol M; Aly E; Amarapurkar DN; Amiri P; Amougou N; Amouyel P; Andersen LB; Anderssen SA; Ängquist L; Anjana RM; Ansari-Moghaddam A; Aounallah-Skhiri H; Araújo J; Ariansen I; Aris T; Arku RE; Arlappa N; Aryal KK; Aspelund T; Assah FK; Assunção MCF; Aung MS; Auvinen J; Mária Avdicová ; Avi S; Azevedo A; Azimi-Nezhad M; Azizi F; Azmin M; Babu BV; Bæksgaard Jørgensen M; Baharudin A; Bahijri S; Baker JL; Balakrishna N; Bamoshmoosh M, 2021, 'Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight', eLife, vol. 10, http://dx.doi.org/10.7554/eLife.60060

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, 2021, 'Quality assessment of real-world data repositories across the data life cycle: A literature review', Journal of the American Medical Informatics Association, http://dx.doi.org/10.1093/jamia/ocaa340

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, 2021, 'Quality assessment of real-world data repositories across the data life cycle: A literature review', Journal of the American Medical Informatics Association, http://dx.doi.org/10.1093/jamia/ocaa340

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, 2021, 'Moving with the Times: The Health Science Alliance (HSA) Biobank, Pathway to Sustainability', Biomarker Insights, vol. 16, http://dx.doi.org/10.1177/11772719211005745

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

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

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

ALLA NLV; CHEN A; BATONGBACAL S; NEKKANTTI C; Dai H-J; JONNAGADDALA J, 2021, 'Cohort selection for construction of a clinical natural language processing corpus', Computer Methods and Programs in Biomedicine Update, vol. 1, pp. 100024 - 100024, http://dx.doi.org/10.1016/j.cmpbup.2021.100024

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, vol. 8, pp. e21750, 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; Fernandes Abrahão MT; 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

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

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, vol. 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, 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

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

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

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, vol. 2, pp. e25, http://dx.doi.org/10.2196/formative.9660

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

Lee J, 2017, 'Patient-Specific Predictive Modeling Using Random Forests: An Observational Study for the Critically Ill.', JMIR Med Inform, vol. 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, 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

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

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 HJ; Chang YC, 2017, 'Introduction', in DDDSM 2017 - 1st International Workshop on Digital Disease Detection using Social Media, Proceedings of the Workshop, pp. iii

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

Jonnagaddala J; Sue D, 2015, A Report on the Workshop on Biobanking Informatics

Lu Y; Li J; Wang X; Cho J; Dorajoo SR; Feng M; Hsu M-H; Hsu JC; 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; Sathappan SMK; Shin SJ; Tan HX; You SC; Zhang X; Krumholz H; Suchard MA; Liu Y; Zandt MV; Xu H, Characterizing Dual Combination Therapy Use in Treatment Escalation of Hypertension: Real-World Evidence from Multinational Cohorts, http://dx.doi.org/10.2139/ssrn.3885636

Banda JM; 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 VS; Prats-Uribe A; Ross EG; Singh G; Subbian V; Vivekanantham A; Prieto-Alhambra D, 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

Lu Y; Li J; Wang X; Cho J; Dorajoo SR; Feng M; Hsu M-H; Hsu JC; 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, 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

Roel E; Pistillo A; Recalde M; Sena AG; Fernández-Bertolín S; Aragón M; Puente D; Ahmed W-U-R; 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 D; Schilling LM; Soerjomataram I; Shah K; Shah N; Shen Y; Spotniz M; Subbian V; Suchard MA; Trama A; Zhang L; Zhang Y; Ryan P; Prieto-Alhambra D; Kostka K; Duarte-Salles T, Characteristics and outcomes of 118,155 COVID-19 individuals with a history of cancer in the United States and Spain, http://dx.doi.org/10.1101/2021.01.12.21249672

Dai H-J; Lee Y-Q; Nekkantti C; Jonnagaddala J, Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation (Preprint), http://dx.doi.org/10.2196/preprints.21750

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 S-T; Abrahão MTF; 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, Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study (Preprint), http://dx.doi.org/10.2196/preprints.21547

Reps JM; Kim C; Williams RD; Markus AF; Yang C; Salles TD; 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 S-T; Fernandes Abrahão MT; Areia C; Matheny ME; Aragón M; Park RW; Hripcsak G; Reich CG; Suchard MA; You SC; Ryan PB; Prieto-Alhambra D; Rijnbeek PR, 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, http://dx.doi.org/10.1101/2020.06.15.20130328

Williams RD; Markus AF; Yang C; Salles TD; DuVall SL; Falconer T; Jonnagaddala J; Kim C; Rho Y; Williams A; Alberga A; An MH; Aragón M; Areia C; Burn E; Choi YH; Drakos I; Fernandes Abrahão MT; Fernández-Bertolín S; Hripcsak G; Kaas-Hansen BS; Kandukuri PL; Kors JA; Kostka K; Liaw S-T; 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, Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network, http://dx.doi.org/10.1101/2020.05.26.20112649

Sieberts SK; Schaff J; Duda M; Pataki BÁ; Sun M; Snyder P; Daneault J-F; Parisi F; Costante G; Rubin U; Banda P; Chae Y; Chaibub Neto E; Dorsey ER; Aydın Z; Chen A; Elo LL; Espino C; Glaab E; Goan E; Golabchi FN; Görmez Y; Jaakkola MK; Jonnagaddala J; Klén R; Li D; McDaniel C; Perrin D; Perumal TM; Rad NM; Rainaldi E; Sapienza S; Schwab P; Shokhirev N; Venäläinen MS; Vergara-Diaz G; Zhang Y; Wang Y; Guan Y; Brunner D; Bonato P; Mangravite LM; Omberg L, Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge, http://dx.doi.org/10.1101/2020.01.13.904722