Prediction of 30-Day Readmission Using Machine Learning
Last updated on July 2021Recruitment
- Recruitment Status
- Active, not recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Anticoagulants; Increased
- Asthma
- Atrial Fibrillation Rapid
- Chronic Kidney Diseases
- Chronic Obstructive Pulmonary Disease
- Gout Flare
- Heart Failure
- Hypertensive Urgency
- Infection
- Type
- Observational
- Design
- Observational Model: CohortTime Perspective: Retrospective
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
Not Provided
Not Provided
Tracking Information
- NCT #
- NCT04849312
- Collaborators
- Biofourmis Inc.
- Investigators
- Principal Investigator: David Levine, MD MPH MA Associate Physician
Get Well Soon