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RECRUITING
NCT05028686
Predicting Readmissions Using Omics, Biostatistical Evaluate and Artificial Intelligence
Sponsor: Institute for Clinical Evaluative Sciences
View on ClinicalTrials.gov
Summary
This study is a prospective registry that aims to predict readmissions in patients with heart failure, using -omics, machine learning, patient reported outcomes, clinical data and other high-dimensional data sources.
Key Details
Gender
All
Age Range
18 Years - 105 Years
Study Type
OBSERVATIONAL
Enrollment
500
Start Date
2019-02-01
Completion Date
2029-09-30
Last Updated
2021-09-02
Healthy Volunteers
No
Conditions
Interventions
OTHER
No intervention
Observational cohort
Locations (1)
University Health Network
Toronto, Ontario, Canada