By Dr Jitendra Jonnagaddala

Journal articles

Binte Hossain F; Muscatello D; Jayasinghe S; Jonnagaddala J; Liu B, 2024, 'Uptake of pneumococcal vaccines in older Australian adults before and after universal public funding of PCV13', Vaccine, 42, pp. 3084 - 3090, http://dx.doi.org/10.1016/j.vaccine.2024.04.012

Phelps NH; Singleton RK; Zhou B; Heap RA; Mishra A; Bennett JE; Paciorek CJ; Lhoste VP; Carrillo-Larco RM; Stevens GA; Rodriguez-Martinez A; Bixby H; Bentham J; Di Cesare M; Danaei G; Rayner AW; Barradas-Pires A; Cowan MJ; Savin S; Riley LM; Aguilar-Salinas CA; Baker JL; Barkat A; Bhutta ZA; Branca F; Caixeta RB; Cuschieri S; Farzadfar F; Ganapathy S; Ikeda N; Iotova V; Kengne AP; Khang YH; Laxmaiah A; Lin HH; Ma J; Mbanya JCN; Miranda JJ; Pradeepa R; Rodríguez-Artalejo F; Sorić M; Turley M; Wang L; Webster-Kerr K; Aarestrup J; Abarca-Gómez L; Abbasi-Kangevari M; Abdeen ZA; Abdrakhmanova S; Abdul Ghaffar S; Abdul Rahim HF; Abdurrahmonova Z; Abu-Rmeileh NM; Abubakar Garba J; Acosta-Cazares B; Adam I; Adamczyk M; Adams RJ; Adu-Afarwuah S; Aekplakorn W; Afsana K; Afzal S; Agbor VN; Agdeppa IA; Aghazadeh-Attari J; Ågren Å; Aguenaou H; Agyemang C; Ahmad MH; Ahmad NA; Ahmadi A; Ahmadi N; Ahmadi N; Ahmed I; Ahmed SH; Ahrens W; Aitmurzaeva G; Ajlouni K; Al-Hazzaa HM; Al-Hinai H; Al-Lahou B; Al-Lawati JA; Al-Raddadi R; Al Asfoor D; Al Hourani HM; Al Qaoud NM; Alarouj M; AlBuhairan F; AlDhukair S; Aldwairji MA; Alexius S; Ali MM; Alieva AV; Alkandari A; Alkerwi A; Alkhatib BM; Allin K; Alomary SA; Alomirah HF; Alshangiti AM, 2024, 'Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults', The Lancet, 403, pp. 1027 - 1050, http://dx.doi.org/10.1016/S0140-6736(23)02750-2

Ahmed S; Jonnagaddala J; Al Nasheet F; El Chayeb JM, 2024, 'A Woman With Unintended Weight Loss, Hematochezia, Abdominal Pain, and Vomiting', Gastroenterology, 166, pp. e9 - e12, http://dx.doi.org/10.1053/j.gastro.2023.08.025

Jiang X; Hoffmeister M; Brenner H; Muti HS; Yuan T; Foersch S; West NP; Brobeil A; Jonnagaddala J; Hawkins N; Ward RL; Brinker TJ; Saldanha OL; Ke J; Müller W; Grabsch HI; Quirke P; Truhn D; Kather JN, 2024, 'End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study', The Lancet Digital Health, 6, pp. e33 - e43, http://dx.doi.org/10.1016/S2589-7500(23)00208-X

Jonnagaddala J; Hoang U; Wensaas KA; Tu K; Ortigoza A; Silva-Valencia J; Cuba-Fuentes MS; Godinho MA; deLusignan S; Liaw ST, 2023, 'Integrated Management Systems (IMS) to Support and Sustain Quality One Health Services: International Lessons from the COVID-19 Pandemic by the IMIA Primary Care Working Group', Yearbook of Medical Informatics, 32, pp. 55 - 64, http://dx.doi.org/10.1055/s-0043-1768725

Cen M; Li X; Guo B; Jonnagaddala J; Zhang H; Xu XS, 2023, 'A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers Using Sequencer Architecture', American Journal of Pathology, 193, pp. 2122 - 2132, http://dx.doi.org/10.1016/j.ajpath.2023.09.006

Höhn J; Krieghoff-Henning E; Wies C; Kiehl L; Hetz MJ; Bucher TC; Jonnagaddala J; Zatloukal K; Müller H; Plass M; Jungwirth E; Gaiser T; Steeg M; Holland-Letz T; Brenner H; Hoffmeister M; Brinker TJ, 2023, 'Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning', npj Precision Oncology, 7, http://dx.doi.org/10.1038/s41698-023-00451-3

Wagner SJ; Reisenbüchler D; West NP; Niehues JM; Zhu J; Foersch S; Veldhuizen GP; Quirke P; Grabsch HI; van den Brandt PA; Hutchins GGA; Richman SD; Yuan T; Langer R; Jenniskens JCA; Offermans K; Mueller W; Gray R; Gruber SB; Greenson JK; Rennert G; Bonner JD; Schmolze D; Jonnagaddala J; Hawkins NJ; Ward RL; Morton D; Seymour M; Magill L; Nowak M; Hay J; Koelzer VH; Church DN; Domingo E; Edwards J; Glimelius B; Gogenur I; Harkin A; Iveson T; Jaeger E; Kelly C; Kerr R; Maka N; Morgan H; Oien K; Orange C; Palles C; Roxburgh C; Sansom O; Saunders M; Tomlinson I; Matek C; Geppert C; Peng C; Zhi C; Ouyang X; James JA; Loughrey MB; Salto-Tellez M; Brenner H; Hoffmeister M; Truhn D; Schnabel JA; Boxberg M; Peng T; Kather JN, 2023, 'Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study', Cancer Cell, 41, pp. 1650 - 1661.e4, http://dx.doi.org/10.1016/j.ccell.2023.08.002

Wang H; Tucker WJ; Jonnagaddala J; Schutte AE; Jalaludin B; Liaw ST; Rye KA; Wong RK; Ong KL, 2023, 'Using machine learning to predict cardiovascular risk using self-reported questionnaires: Findings from the 45 and Up Study', International Journal of Cardiology, 386, pp. 149 - 156, http://dx.doi.org/10.1016/j.ijcard.2023.05.030

John JR; Khan JR; Lin PI; Jonnagaddala J; Hu N; Belcher J; Liaw ST; Lingam R; Eapen V, 2023, 'A nationwide study of COVID-19 impact on mental health-related presentations among children and adolescents to primary care practices in Australia', Psychiatry Research, 326, http://dx.doi.org/10.1016/j.psychres.2023.115332

Guo B; Li X; Yang M; Jonnagaddala J; Zhang H; Xu XS, 2023, 'Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: achieving state-of-the-art predictive performance with fewer data using Swin Transformer', Journal of Pathology: Clinical Research, 9, pp. 223 - 235, http://dx.doi.org/10.1002/cjp2.312

Susič D; Syed-Abdul S; Dovgan E; Jonnagaddala J; Gradišek A, 2023, 'Artificial intelligence based personalized predictive survival among colorectal cancer patients', Computer Methods and Programs in Biomedicine, 231, http://dx.doi.org/10.1016/j.cmpb.2023.107435

Mishra A; Zhou B; Rodriguez-Martinez A; Bixby H; Singleton RK; Carrillo-Larco RM; Sheffer KE; Paciorek CJ; Bennett JE; Lhoste V; Iurilli MLC; Di Cesare M; Bentham J; Phelps NH; Sophiea MK; Stevens GA; Danaei G; Cowan MJ; Savin S; Riley LM; Gregg EW; Aekplakorn W; Ahmad NA; Baker JL; Chirita-Emandi A; Farzadfar F; Fink G; Heinen M; Ikeda N; Kengne AP; Khang YH; Laatikainen T; Laxmaiah A; Ma J; Monroy-Valle M; Mridha MK; Padez CP; Reynolds A; Sorić M; Starc G; Wirth JP; Abarca-Gómez L; Abdeen ZA; Abdrakhmanova S; Ghaffar SA; Abdul Rahim HF; Abdurrahmonova Z; Abu-Rmeileh NM; Garba JA; Acosta-Cazares B; Adam I; Adamczyk M; Adams RJ; Adu-Afarwuah S; Afsana K; Afzal S; Agbor VN; Agdeppa IA; Aghazadeh-Attari J; Aguenaou H; Aguilar-Salinas CA; Agyemang C; Ahmad MH; Ahmadi A; Ahmadi N; Ahmadi N; Ahmed I; Ahmed SH; Ahrens W; Aitmurzaeva G; Ajlouni K; Al-Hazzaa HM; Al-Lahou B; Al-Raddadi R; Al Hourani HM; Al Qaoud NM; Alarouj M; AlBuhairan F; AlDhukair S; Aldwairji MA; Alexius S; Ali MM; Alkandari A; Alkerwi A; Alkhatib BM; Allin K; Alvarez-Pedrerol M; Aly E; Amarapurkar DN; Etxezarreta PA; Amoah J; Amougou N; Amouyel P; Andersen LB; Anderssen SA; Androutsos O; Ängquist L; Anjana RM; Ansari-Moghaddam A; Anufrieva E; Jonnagaddala J; Woodward M; Sundstorm J; Simons L; Schutte A, 2023, 'Diminishing benefits of urban living for children and adolescents’ growth and development', Nature, 615, pp. 874 - 883, http://dx.doi.org/10.1038/s41586-023-05772-8

Cen M; Li X; Guo B; Jonnagaddala J; Zhang H; Xu XS, 2023, 'Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines', , http://dx.doi.org/10.48550/arxiv.2302.10406

Craig A; Beek K; Godinho M; Ansari S; Jonnagaddala J; Asgari-Jirhandeh N; Linhart C; Hall J; Liaw T, 2023, 'Digital health and universal health coverage: opportunities and policy considerations for low- and middle-income Pacific Island countries and territories', Pacific Health, 6, http://dx.doi.org/10.24135/pacifichealth.v6i.64

Morales DR; Ostropolets A; Lai L; Sena A; Duvall S; Suchard M; Verhamme K; Rjinbeek P; Posada J; Ahmed W; Alshammary T; Alghoul H; Alser O; Areia C; Blacketer C; Burn E; Casajust P; You SC; Dawoud D; Golozar A; Gong M; Jonnagaddala J; Lynch K; Matheny M; Minty E; Nyberg F; Uribe A; Recalde M; Reich C; Scheumie M; Shah K; Shah N; Schilling L; Vizcaya D; Zhang L; Hripcsak G; Ryan P; Prieto-Alhambra D; Durate-Salles T; Kostka K, 2023, 'Characteristics and outcomes of COVID-19 patients with and without asthma from the United States, South Korea, and Europe', Journal of Asthma, 60, pp. 76 - 86, http://dx.doi.org/10.1080/02770903.2021.2025392

Lukitasari M; Apriliyawan S; Manistamara H; Sella YO; Rohman MS; Jonnagaddala J, 2023, 'Focused Chest Pain Assessment for Early Detection of Acute Coronary Syndrome: Development of a Cardiovascular Digital Health Intervention', Global Heart, 18, http://dx.doi.org/10.5334/gh.1194

Shao Z; Dai L; Jonnagaddala J; Chen Y; Wang Y; Fang Z; Zhang Y, 2023, 'Generalizability of Self-Supervised Training Models for Digital Pathology: A Multicountry Comparison in Colorectal Cancer', JCO Clinical Cancer Informatics, 7, http://dx.doi.org/10.1200/CCI.22.00178

Liu J; Gupta S; Chen A; Wang CK; Mishra P; Dai HJ; Wong ZSY; Jonnagaddala J, 2023, 'OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study', Journal of Medical Internet Research, 25, http://dx.doi.org/10.2196/48145

Liu A; Li X; Wu H; Guo B; Jonnagaddala J; Zhang H; Xu S, 2023, 'Prognostic Significance of Tumor-Infiltrating Lymphocytes Determined Using LinkNet on Colorectal Cancer Pathology Images', JCO Precision Oncology, 7, http://dx.doi.org/10.1200/PO.22.00522

Cen M; Li X; Guo B; Jonnagaddala J; Zhang H; Xu XS, 2023, 'Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines.', CoRR, abs/2302.10406

Kuziemsky C; Liaw ST; Leston M; Pearce C; Jonnagaddala J; De Lusignan S, 2022, 'Towards Equitable and Resilient Digital Primary Care Systems: An International Comparison and Insight for Moving Forward', Yearbook of Medical Informatics, 31, pp. 47 - 59, http://dx.doi.org/10.1055/s-0042-1742502

Williams RD; Markus AF; Yang C; Duarte-Salles T; DuVall SL; Falconer T; Jonnagaddala J; Kim C; Rho Y; Williams AE; Machado AA; An MH; Aragón M; Areia C; Burn E; Choi YH; Drakos I; Abrahão MTF; Fernández-Bertolín S; Hripcsak G; Kaas-Hansen BS; Kandukuri PL; Kors JA; Kostka K; Liaw ST; 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, 2022, 'Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network', BMC Medical Research Methodology, 22, http://dx.doi.org/10.1186/s12874-022-01505-z

Sandarenu P; Millar EKA; Song Y; Browne L; Beretov J; Lynch J; Graham PH; Jonnagaddala J; Hawkins N; Huang J; Meijering E, 2022, 'Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-18647-1

Li X; Jonnagaddala J; Cen M; Zhang H; Xu S, 2022, 'Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning', Entropy, 24, http://dx.doi.org/10.3390/e24111669

Barsasella D; Bah K; Mishra P; Uddin M; Dhar E; Suryani DL; Setiadi D; Masturoh I; Sugiarti I; Jonnagaddala J; Syed-Abdul S, 2022, 'A Machine Learning Model to Predict Length of Stay and Mortality among Diabetes and Hypertension Inpatients', Medicina (Kaunas, Lithuania), 58, http://dx.doi.org/10.3390/medicina58111568

Li X; Jonnagaddala J; Yang S; Zhang H; Xu XS, 2022, 'A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer', Journal of Cancer Research and Clinical Oncology, 148, pp. 1955 - 1963, http://dx.doi.org/10.1007/s00432-022-03976-5

Kadappu P; Jonnagaddala J; Liaw ST; Cochran BJ; Rye KA; Ong KL; Liaw T, 2022, 'Statin Prescription Patterns and Associations with Subclinical Inflammation', Medicina (Lithuania), 58, pp. 1096, http://dx.doi.org/10.3390/medicina58081096

Lu Y; Van Zandt M; Liu Y; Li J; Wang X; Chen Y; Chen Z; Cho J; Dorajoo SR; Feng M; Hsu MH; Hsu JC; Iqbal U; Jonnagaddala J; Li YC; Liaw ST; Lim HS; Ngiam KY; Nguyen PA; Park RW; Pratt N; Reich C; Rhee SY; Sathappan SMK; Shin SJ; Tan HX; You SC; Zhang X; Krumholz HM; Suchard MA; Xu H, 2022, 'Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational Cohort', JAMA Network Open, 5, pp. E223877, http://dx.doi.org/10.1001/jamanetworkopen.2022.3877

Barsasella D; Iman AT; Fadly F; Uddin M; Mohammed A; Shaik T; Saputra H; Malwade S; Dhar E; Zakiah ; Nurhadi ; Jonnagaddala J; Syed-Abdul S, 2022, 'Information Flow and Data Gaps in COVID-19 Recording and Reporting at National and Provincial Levels in Indonesia', Healthcare (Switzerland), 10, http://dx.doi.org/10.3390/healthcare10020204

Li X; Jonnagaddala J; Cen M; Zhang H; Steven X, 2022, 'Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning.', Entropy, 24, pp. 1669 - 1669

Guo B; Jonnagaddala J; Zhang H; Xu XS, 2022, 'Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer.', CoRR, abs/2208.10495

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

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', The 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

Banda J; 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 V; Prats-Uribe A; Ross E; Singh G; Subbian V; Vivekanantham A; Prieto-Alhambra D, 2021, '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 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

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