| 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 | 245 | 2020 |
| 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 | 110 | 2021 |
| Machine learning for real-time heart disease prediction D Bertsimas, L Mingardi, B Stellato IEEE Journal of Biomedical and Health Informatics 25 (9), 3627-3637, 2021 | 78 | 2021 |
| Comparing interpretability and explainability for feature selection J Dunn, L Mingardi, YD Zhuo arXiv preprint arXiv:2105.05328, 2021 | 43 | 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 | 13 | 2021 |
| 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 | 10 | 2020 |
| An aggregated dataset of clinical outcomes for COVID-19 patients (2020) D Bertsimas, H Bandi, L Boussioux, R Cory-Wright, A Delarue, ... URL: http://www. covidanalytics. io/dataset documentation, 2020 | 7 | 2020 |
| COVIDAnalytics D Bertsimas, L Boussioux, R Wright, A Delarue, D Kitane, G Lukin, M Li, ... MIT Operations Research Center. Retrieved May 19, 2020, 2020 | 6 | 2020 |
| 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 | 6 | 2020 |
| Congenital heart surgery machine learning-derived in-depth benchmarking tool GE Sarris, D Zhuo, L Mingardi, J Dunn, J Levine, Z Tobota, ... The Annals of Thoracic Surgery 118 (1), 199-206, 2024 | 4 | 2024 |
