From predictions to prescriptions: A data-driven response to COVID-19

From predictions to prescriptions: A data-driven response to COVID-19

Abstract The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at a stee...

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Bibliographic Details
Main Authors: Bertsimas, Dimitris, Boussioux, Leonard, Cory-Wright, Ryan, Delarue, Arthur, Digalakis, Vassilis, Jacquillat, Alexandre, Kitane, Driss L., Lukin, Galit, Li, Michael, Mingardi, Luca, Nohadani, Omid, Orfanoudaki, Agni, Papalexopoulos, Theodore, Paskov, Ivan, Pauphilet, Jean, Lami, Omar S.
Other Authors: Sloan School of Management
Format: Article
Language:English
Published: Springer US 2021
Online Access:https://hdl.handle.net/1721.1/136840

Internet

https://hdl.handle.net/1721.1/136840

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