Trials / Completed
CompletedNCT04045639
A Study to Assess the Effectiveness of an Atrial Fibrillation (AF) Risk Prediction Algorithm and Diagnostic Test in Identifying Patients With AF.
A Randomised Controlled Trial for the Identification of Undiagnosed Atrial Fibrillation Patients Using a Machine Learning Risk Prediction Algorithm and Diagnostic Test
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 260 (actual)
- Sponsor
- Bristol-Myers Squibb · Industry
- Sex
- All
- Age
- 30 Years
- Healthy volunteers
- —
Summary
This is a trial to assess the effectiveness of an atrial fibrillation (AF) risk prediction algorithm and diagnostic test for the identification of patients with atrial fibrillation
Conditions
Timeline
- Start date
- 2019-06-30
- Primary completion
- 2021-01-12
- Completion
- 2021-01-12
- First posted
- 2019-08-05
- Last updated
- 2021-08-02
Locations
6 sites across 1 country: United Kingdom
Source: ClinicalTrials.gov record NCT04045639. Inclusion in this directory is not an endorsement.