Trials / Completed
CompletedNCT04423991
Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning
Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning: the IDENTIFY Trial
- Status
- Completed
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 290 (actual)
- Sponsor
- Dascena · Industry
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
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.
Detailed 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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DEVICE | COViage | Machine learning intervention |
Timeline
- Start date
- 2020-03-10
- Primary completion
- 2020-06-04
- Completion
- 2020-06-04
- First posted
- 2020-06-09
- Last updated
- 2020-06-09
Locations
1 site across 1 country: United States
Source: ClinicalTrials.gov record NCT04423991. Inclusion in this directory is not an endorsement.