Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?—The IDENTIFY Trial

Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?—The IDENTIFY Trial

Therapeutic agents for the novel coronavirus disease 2019 (COVID-19) have been proposed, but evidence supporting their use is limited. A machine learning algorithm was developed in order to identify a subpopulation of COVID-19 patients for whom hydroxychloroquine was associated with improved surviva...

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Bibliographic Details
Main Authors: Hoyt Burdick, Carson Lam, Samson Mataraso, Anna Siefkas, Gregory Braden, R. Phillip Dellinger, Andrea McCoy, Jean-Louis Vincent, Abigail Green-Saxena, Gina Barnes, Jana Hoffman, Jacob Calvert, Emily Pellegrini, Ritankar Das
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Journal of Clinical Medicine
Subjects:
machine learning
COVID-19
SARS-Cov-2
hydroxychloroquine
mortality
prediction
Online Access:https://www.mdpi.com/2077-0383/9/12/3834

Internet

https://www.mdpi.com/2077-0383/9/12/3834

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