COVID-19 mortality risk assessment: An international multi-center study D Bertsimas, G Lukin, L Mingardi, O Nohadani, A Orfanoudaki, B Stellato, ... PloS one 15 (12), e0243262, 2020 | 220 | 2020 |
Interpretable clustering: an optimization approach D Bertsimas, A Orfanoudaki, H Wiberg Machine Learning 110 (1), 89-138, 2021 | 120* | 2021 |
From predictions to prescriptions: A data-driven response to COVID-19 D Bertsimas, L Boussioux, R Cory-Wright, A Delarue, V Digalakis, ... Health care management science 24, 253-272, 2021 | 93 | 2021 |
Simulation optimization for a large-scale bike-sharing system N Jian, D Freund, HM Wiberg, SG Henderson 2016 Winter Simulation Conference (WSC), 602-613, 2016 | 89 | 2016 |
Integrated multimodal artificial intelligence framework for healthcare applications LR Soenksen, Y Ma, C Zeng, L Boussioux, K Villalobos Carballo, L Na, ... NPJ digital medicine 5 (1), 149, 2022 | 70 | 2022 |
Machine learning in oncology: methods, applications, and challenges D Bertsimas, H Wiberg JCO clinical cancer informatics 4, 2020 | 58 | 2020 |
Mixed-integer optimization with constraint learning D Maragno, H Wiberg, D Bertsimas, Şİ Birbil, D den Hertog, AO Fajemisin Operations Research, 2023 | 46 | 2023 |
Prediction of cervical spine injury in young pediatric patients: an optimal trees artificial intelligence approach D Bertsimas, PT Masiakos, KS Mylonas, H Wiberg Journal of pediatric surgery 54 (11), 2353-2357, 2019 | 20 | 2019 |
An aggregated dataset of clinical outcomes for covid-19 patients D Bertsimas, H Bandi, L Boussioux, R Cory-Wright, A Delarue, ... URL http://www. covidanalytics. io/datasetdocumentation, 2020 | 13* | 2020 |
Prediction of neutropenic events in chemotherapy patients: A machine learning approach H Wiberg, P Yu, P Montanaro, J Mather, S Birz, M Schneider, D Bertsimas JCO Clinical Cancer Informatics 5, 904-911, 2021 | 12 | 2021 |
Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients D Bertsimas, A Borenstein, L Mingardi, O Nohadani, A Orfanoudaki, ... Health Care Management Science 24, 339-355, 2021 | 10 | 2021 |
Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelligence–Based Model D Bertsimas, GA Margonis, Y Huang, N Andreatos, H Wiberg, Y Ma, ... JCO Clinical Cancer Informatics 5, 1220-1231, 2021 | 6 | 2021 |
a Beccara D Bertsimas, G Lukin, L Mingardi, O Nohadani, A Orfanoudaki, B Stellato, ... L., Canino, R., Dal Bello, M., Pezzetti, F., Pan, A., & Hellenic COVID-19 …, 2020 | 5 | 2020 |
A hybrid approach to scalable real-world data curation by machine learning and human experts ML Waskom, K Tan, H Wiberg, AB Cohen, B Wittmershaus, W Shapiro medRxiv, 2023.03. 06.23286770, 2023 | 3 | 2023 |
Pediatric Cervical Spine Injury Following Blunt Trauma in Children Younger Than 3 Years: The PEDSPINE II Study CM Luckhurst, HM Wiberg, RL Brown, SW Bruch, NM Chandler, ... JAMA surgery 158 (11), 1126-1132, 2023 | 2 | 2023 |
Data-driven healthcare via constraint learning and analytics HM Wiberg Massachusetts Institute of Technology, 2022 | 1 | 2022 |
COVID-19 Mortality Risk Assessment: An International Multi-Center Study (preprint) D Bertsimas, G Lukin, L Mingardi, O Nohadani, A Orfanoudaki, B Stellato, ... | | 2020 |
Personalized Prescription of ACEI/ARBs for Hypertensive COVID-19 Patients (preprint) D Bertsimas, A Borenstein, L Mingardi, O Nohadani, A Orfanoudaki, ... | | 2020 |
From predictions to prescriptions: A data-drivenresponse to COVID-19 (preprint) D Bertsimas, L Boussioux, RC Wright, A Delarue, V Digalakis Jr, ... | | 2020 |