| Tocilizumab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial RECOVERY Collaborative Group Lancet (London, England) 397 (10285), 1637, 2021 | 2454* | 2021 |
| A large-scale COVID-19 Twitter chatter dataset for open scientific research—an international collaboration JM Banda, R Tekumalla, G Wang, J Yu, T Liu, Y Ding, E Artemova, ... Epidemiologia 2 (3), 315-324, 2021 | 358 | 2021 |
| Characterizing treatment pathways at scale using the OHDSI network G Hripcsak, PB Ryan, JD Duke, NH Shah, RW Park, V Huser, MA Suchard, ... Proceedings of the National Academy of Sciences 113 (27), 7329-7336, 2016 | 358 | 2016 |
| Advances in electronic phenotyping: from rule-based definitions to machine learning models JM Banda, M Seneviratne, T Hernandez-Boussard, NH Shah Annual review of biomedical data science 1 (1), 53-68, 2018 | 216 | 2018 |
| A curated and standardized adverse drug event resource to accelerate drug safety research JM Banda, L Evans, RS Vanguri, NP Tatonetti, PB Ryan, NH Shah Scientific data 3 (1), 1-11, 2016 | 212 | 2016 |
| Learning statistical models of phenotypes using noisy labeled training data V Agarwal, T Podchiyska, JM Banda, V Goel, TI Leung, EP Minty, ... Journal of the American Medical Informatics Association 23 (6), 1166-1173, 2016 | 183 | 2016 |
| Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study JCE Lane, J Weaver, K Kostka, T Duarte-Salles, MTF Abrahao, H Alghoul, ... The Lancet Rheumatology 2 (11), e698-e711, 2020 | 132 | 2020 |
| Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study E Burn, SC You, AG Sena, K Kostka, H Abedtash, MTF Abrahao, ... Nature communications 11 (1), 5009, 2020 | 93 | 2020 |
| Finding missed cases of familial hypercholesterolemia in health systems using machine learning JM Banda, A Sarraju, F Abbasi, J Parizo, M Pariani, H Ison, E Briskin, ... NPJ digital medicine 2 (1), 23, 2019 | 82 | 2019 |
| Overview of the sixth social media mining for health applications (# SMM4H) shared tasks at NAACL 2021 A Magge, A Klein, A Miranda-Escalada, MA Al-Garadi, I Alimova, ... Proceedings of the sixth social media mining for health (# SMM4H) workshop …, 2021 | 79 | 2021 |
| Association of hemoglobin A1c levels with use of sulfonylureas, dipeptidyl peptidase 4 inhibitors, and thiazolidinediones in patients with type 2 diabetes treated with … R Vashisht, K Jung, A Schuler, JM Banda, RW Park, S Jin, L Li, JT Dudley, ... JAMA network open 1 (4), e181755-e181755, 2018 | 79 | 2018 |
| Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data KD Myers, JW Knowles, D Staszak, MD Shapiro, W Howard, M Yadava, ... The Lancet Digital Health 1 (8), e393-e402, 2019 | 66 | 2019 |
| Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network JM Banda, Y Halpern, D Sontag, NH Shah AMIA Summits on Translational Science Proceedings 2017, 48, 2017 | 65 | 2017 |
| Characterizing all-cause excess mortality patterns during COVID-19 pandemic in Mexico S Dahal, JM Banda, AI Bento, K Mizumoto, G Chowell BMC Infectious Diseases 21 (1), 432, 2021 | 64 | 2021 |
| A large-scale solar image dataset with labeled event regions MA Schuh, RA Angryk, KG Pillai, JM Banda, PC Martens 2013 IEEE International Conference on Image Processing, 4349-4353, 2013 | 53 | 2013 |
| Overview of the seventh social media mining for health applications (# SMM4H) shared tasks at COLING 2022 D Weissenbacher, J Banda, V Davydova, DE Zavala, LG Sánchez, Y Ge, ... Proceedings of the seventh workshop on social media mining for health …, 2022 | 52 | 2022 |
| Spatio-temporal co-occurrence pattern mining in data sets with evolving regions KG Pillai, RA Angryk, JM Banda, MA Schuh, T Wylie 2012 IEEE 12th international conference on data mining workshops, 805-812, 2012 | 51 | 2012 |
| Long-term patient-reported symptoms of COVID-19: an analysis of social media data JM Banda, GV Singh, OH Alser, D Prieto-Alhambra medRxiv, 2020.07. 29.20164418, 2020 | 48 | 2020 |
| Risk of angioedema associated with levetiracetam compared with phenytoin: Findings of the observational health data sciences and informatics research network JD Duke, PB Ryan, MA Suchard, G Hripcsak, P Jin, C Reich, MS Schwalm, ... Epilepsia 58 (8), e101-e106, 2017 | 47 | 2017 |
| Nanopublications: a growing resource of provenance-centric scientific linked data T Kuhn, A Meroño-Peñuela, A Malic, JH Poelen, AH Hurlbert, EC Ortiz, ... 2018 IEEE 14th International Conference on e-Science (e-Science), 83-92, 2018 | 46 | 2018 |
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford UniversityVerified email at stanford.edu
