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Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning — IDENTIFY  

COVID-19 Clinical Trial

Official title:
Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning: the IDENTIFY Trial

Clinical Trial Summary

The purpose of this study was to assess the performance of a machine learning algorithm which identifies patients for whom hydroxychloroquine treatment is associated with predicted survival.

Clinical Trial Description

In a multi-center pragmatic clinical trial, COVID-19 positive patients admitted to 6 United States medical centers were enrolled between March 10 and June 4, 2020. A machine learning algorithm was used to determine which patients were suitable for treatment with hydroxychloroquine. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04423991
Study type Interventional
Source Dascena
Contact
Status Completed
Phase N/A
Start date March 10, 2020
Completion date June 4, 2020
View Details
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