AI predicts hospital comebacks: a data dive
NCT ID NCT04849312
First seen Mar 22, 2026 · Last updated Jun 16, 2026 · Updated 22 times
Summary
This study looked at data from 372 patients to see if a computer program could predict who would need to be readmitted to the hospital within 30 days. Researchers used information like age and health history to train the computer model. The goal was to find patterns that could help doctors identify high-risk patients earlier.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for HEART FAILURE are added.
By submitting, you agree to our Terms of use
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Locations
-
Brigham and Women's Faulkner Hospital
Boston, Massachusetts, 02130, United States
-
Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
Conditions
Explore the condition pages connected to this study.