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

NCT04423991 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 290

Last updated 2020-06-09

No results posted yet for this study

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.

Conditions

Interventions

DEVICE

COViage

Machine learning intervention

Sponsors & Collaborators

  • Dascena

    lead INDUSTRY

Study Design

Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-03-10
Primary Completion
2020-06-04
Completion
2020-06-04

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04423991 on ClinicalTrials.gov