Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City B Wilder, M Charpignon, JA Killian, HC Ou, A Mate, S Jabbari, A Perrault, ... Proceedings of the National Academy of Sciences 117 (41), 25904-25910, 2020 | 108* | 2020 |
Analysis of discrepancies between pulse oximetry and arterial oxygen saturation measurements by race and ethnicity and association with organ dysfunction and mortality AKI Wong, M Charpignon, H Kim, C Josef, AAH de Hond, JJ Fojas, ... JAMA network open 4 (11), e2131674-e2131674, 2021 | 79 | 2021 |
Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review LA Celi, J Cellini, ML Charpignon, EC Dee, F Dernoncourt, R Eber, ... PLOS Digital Health 1 (3), e0000022, 2022 | 45 | 2022 |
Evaluation of suicides among US adolescents during the COVID-19 pandemic ML Charpignon, J Ontiveros, S Sundaresan, A Puri, J Chandra, KD Mandl, ... JAMA pediatrics 176 (7), 724-726, 2022 | 40 | 2022 |
MIT COVID-19 Datathon: data without boundaries EM Luo, S Newman, M Amat, ML Charpignon, ER Duralde, S Jain, ... BMJ innovations 7 (1), 2021 | 17 | 2021 |
Evaluating COVID-19 lockdown policies for India: A preliminary modeling assessment for individual states A Mate, JA Killian, B Wilder, M Charpignon, A Awasthi, M Tambe, ... Available at SSRN 3575207, 2020 | 15 | 2020 |
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia ML Charpignon, B Vakulenko-Lagun, B Zheng, C Magdamo, B Su, ... Nature communications 13 (1), 7652, 2022 | 12* | 2022 |
Evaluating COVID-19 lockdown and business-sector-specific reopening policies for three US states JA Killian, M Charpignon, B Wilder, A Perrault, M Tambe, MS Majumder Available at SSRN 3598744, 2020 | 10* | 2020 |
Unsupervised learning for county-level typological classification for COVID-19 research Y Lai, ML Charpignon, DK Ebner, LA Celi Intelligence-based medicine 1, 100002, 2020 | 9 | 2020 |
Prediction of consumer credit risk ML Charpignon, E Horel, F Tixier Stanford University, 2014 | 9 | 2014 |
Designing efficient contact tracing through Risk-Based Quarantining A Perrault, M Charpignon, J Gruber, M Tambe, M Majumder National Bureau of Economic Research, 2020 | 8 | 2020 |
Who does the model learn from? MCS Marie-Laure Charpignon, Leo Anthony Celi Lancet Digital Health, 2021 | 6 | 2021 |
Gender Balance and Readability of COVID-19 Scientific Publishing: A Quantitative Analysis of 90,000 Preprint Manuscripts LA Celi, ML Charpignon, DK Ebner, AR Kaufman, LG McCoy, MC Millado, ... medRxiv, 2021.06. 14.21258917, 2021 | 5 | 2021 |
COVID-19 mortality among working-age Americans in 46 states, by industry and occupation YH Chen, R Chen, ML Charpignon, MV Kiang, AR Riley, MM Glymour, ... medRxiv, 2022.03. 29.22273085, 2022 | 3 | 2022 |
Village mentoring and hive learning: The MIT Critical Data experience CV Cosgriff, M Charpignon, D Moukheiber, ME Lough, J Gichoya, ... Iscience 24 (6), 2021 | 3 | 2021 |
Critical bias in critical care devices LN Marie-Laure Charpignon, Joseph Byers, Stephanie Cabral, Leo Anthony Celi ... Critical Care Clinics, 2023 | 2 | 2023 |
Modeling the Impact of Demography on COVID-19 Dynamics in Hubei and Lombardy B Wilder, M Charpignon, J Killian, HC Ou, A Mate, S Jabbari, A Perrault, ... | 2 | 2020 |
Impact of non-pharmaceutical interventions, weather, vaccination, and variants on COVID-19 transmission across departments in France J Paireau, ML Charpignon, S Larrieu, C Calba, N Hozé, PY Boëlle, ... BMC Infectious Diseases 23 (1), 1-12, 2023 | 1 | 2023 |
COVID-19 Mortality by Race and Ethnicity in US Metropolitan and Nonmetropolitan Areas, March 2020 to February 2022 DJ Lundberg, E Wrigley-Field, A Cho, R Raquib, EO Nsoesie, E Paglino, ... JAMA Network Open 6 (5), e2311098-e2311098, 2023 | 1 | 2023 |
Package ‘causalCmprsk.’ B Vakulenko-Lagun, C Magdamo, ML Charpignon, B Zheng, M Albers, ... J Am Med Assoc 276, 889-897, 2021 | 1 | 2021 |