| 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 | 246 | 2020 |
| Interpretable clustering: an optimization approach D Bertsimas, A Orfanoudaki, H Wiberg Machine Learning 110 (1), 89-138, 2021 | 155* | 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 | 110 | 2021 |
| Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports CJ Ong, A Orfanoudaki, R Zhang, FPM Caprasse, M Hutch, L Ma, D Fard, ... PloS one 15 (6), e0234908, 2020 | 87 | 2020 |
| Optimal survival trees D Bertsimas, J Dunn, E Gibson, A Orfanoudaki Machine learning 111 (8), 2951-3023, 2022 | 51 | 2022 |
| Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score A Orfanoudaki, E Chesley, C Cadisch, B Stein, A Nouh, MJ Alberts, ... PloS one 15 (5), e0232414, 2020 | 51 | 2020 |
| Personalized treatment for coronary artery disease patients: a machine learning approach D Bertsimas, A Orfanoudaki, RB Weiner Health Care Management Science 23 (4), 482-506, 2020 | 49 | 2020 |
| Imputation of clinical covariates in time series D Bertsimas, A Orfanoudaki, C Pawlowski Machine Learning 110 (1), 185-248, 2021 | 41 | 2021 |
| Natural language processing of radiology reports to detect complications of ischemic stroke MI Miller, A Orfanoudaki, M Cronin, H Saglam, I So Yeon Kim, O Balogun, ... Neurocritical care 37 (Suppl 2), 291-302, 2022 | 15 | 2022 |
| Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk score A Orfanoudaki, A Giannoutsou, S Hashim, D Bertsimas, RC Hagberg Journal of Cardiac Surgery 37 (1), 18-28, 2022 | 15 | 2022 |
| 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 |
| Algorithm, Human, or the Centaur: How to Enhance Clinical Care? A Orfanoudaki, S Saghafian, K Song, HA Chakkera, C Cook HKS Working Paper No. RWP22-027, 2022 | 12 | 2022 |
| 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 |
| Pricing algorithmic insurance D Bertsimas, A Orfanoudaki arXiv preprint arXiv:2106.00839, 2021 | 9 | 2021 |
| Ensemble machine learning for personalized antihypertensive treatment D Bertsimas, ARA Borenstein, A Dauvin, A Orfanoudaki Naval Research Logistics (NRL) 69 (5), 669-688, 2022 | 7 | 2022 |
| 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 |
| 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 |
| Improving quality in cardiothoracic surgery: Exploiting the untapped potential of machine learning A Orfanoudaki, JA Dearani, DM Shahian, V Badhwar, F Fernandez, ... The Annals of Thoracic Surgery 114 (6), 1995-2000, 2022 | 5 | 2022 |
| Algorithmic Insurance D Bertsimas, A Orfanoudaki arXiv preprint arXiv:2106.00839, 2021 | 3 | 2021 |
| Diabetes mellitus and blood glucose variability increases the 30‐day readmission rate after kidney transplantation A Orfanoudaki, CB Cook, S Saghafian, J Castro, HE Kosiorek, ... Clinical Transplantation 38 (1), e15177, 2024 | 2 | 2024 |
Dimitris BertsimasBoeing Professor of Operations Research, MITDirección de correo verificada de mit.edu