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Predicting Readmissions Using Omics, Biostatistical Evaluate and Artificial Intelligence

NCT05028686 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2021-09-02

No results posted yet for this study

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.

Conditions

Interventions

OTHER

No intervention

Observational cohort

Sponsors & Collaborators

  • Ted Rogers Centre for Heart Research

    collaborator UNKNOWN

  • Peter Munk Cardiac Centre

    collaborator UNKNOWN

  • Vector Institute for Artificial Intelligence

    collaborator UNKNOWN

  • Institute for Clinical Evaluative Sciences

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
105 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-02-01
Primary Completion
2024-09-30
Completion
2029-09-30

Countries

  • Canada

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 NCT05028686 on ClinicalTrials.gov