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Health Care Management Science|October 11, 2020
Personalized treatment for coronary artery disease patients: a machine learning approachDimitris Bertsimas, Agni Orfanoudaki, Rory B WeinerJournal of Cardiac Surgery|October 20, 2021
Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk scoreAgni Orfanoudaki, Aikaterini Giannoutsou, Sabet Hashim, et al.Journal of Personalized Medicine|June 25, 2025
Artificial Intelligence-Assisted Emergency Department Vertical Patient Flow OptimizationNicole R Hodgson, Soroush Saghafian, Wayne A Martini, et al.Plos One|May 22, 2020
Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk scoreAgni Orfanoudaki, Emma Chesley, Christian Cadisch, et al.Clinical Transplantation|November 3, 2023
Diabetes mellitus and blood glucose variability increases the 30-day readmission rate after kidney transplantationAgni Orfanoudaki, Curtiss B Cook, Soroush Saghafian, et al.Health Care Management Science|March 15, 2021
Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patientsDimitris Bertsimas, Alison Borenstein, Luca Mingardi, et al.Medrxiv : the Preprint Server for Health Sciences|November 28, 2024
HELMET: A Hybrid Machine Learning Framework for Real-Time Prediction of Edema Trajectory in Large Middle Cerebral Artery StrokeEthan Phillips, Odhran O'Donoghue, Yumeng Zhang, et al.NPJ Digital Medicine|May 16, 2025
Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery strokeEthan Phillips, Odhran O'Donoghue, Yumeng Zhang, et al.Plos One|June 20, 2020
Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reportsCharlene Jennifer Ong, Agni Orfanoudaki, Rebecca Zhang, et al.Plos One|December 9, 2020
COVID-19 mortality risk assessment: An international multi-center studyDimitris Bertsimas, Galit Lukin, Luca Mingardi, et al.Pageof 2