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Juan M. Banda
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Tocilizumab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
O Abani, A Abbas, F Abbas, M Abbas, S Abbasi, H Abbass, A Abbott, ...
The Lancet 397 (10285), 1637-1645, 2021
657*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
2652016
Colchicine in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
RC Group
The Lancet Respiratory Medicine 9 (12), 1419-1426, 2021
193*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
175*2021
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
1212016
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
1172016
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, 53, 2018
1042018
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
852020
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 Abrah„o, ...
Nature communications 11 (1), 1-11, 2020
622020
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
522018
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
522013
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
422017
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), 1-8, 2019
412019
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions.
KG Pillai, RA Angryk, JM Banda, MA Schuh, T Wylie
ICDM Workshops, 805-812, 2012
402012
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
372017
On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images
JM Banda, RA Angryk
2009 IEEE International Conference on Fuzzy Systems, 2019-2024, 2009
362009
Feasibility of prioritizing drug–drug-event associations found in electronic health records
JM Banda, A Callahan, R Winnenburg, HR Strasberg, A Cami, BY Reis, ...
Drug safety 39 (1), 45-57, 2016
352016
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
342021
An experimental evaluation of popular image parameters for monochromatic solar image categorization
J Banda, R Angryk
Twenty-Third International FLAIRS Conference, 2010
342010
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
292019
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