Ignite Creation Date:
2025-12-24 @ 11:43 PM
Ignite Modification Date:
2025-12-25 @ 9:35 PM
Study NCT ID:
NCT04784351
Status:
UNKNOWN
Last Update Posted:
2021-04-19
First Post:
2021-03-02
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Prediction of Expected Length of Hospital Stay Using Machine Learning
Sponsor:
Brigham and Women's Hospital
Organization:
Study Overview
Official Title:
Prediction of Expected Length of Hospital Stay Using Machine Learning
Status:
UNKNOWN
Status Verified Date:
2021-04
Last Known Status:
ACTIVE_NOT_RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This is a retrospective observational study drawing on data from the Brigham and Women's Home Hospital database. Sociodemographic and clinic data from a training cohort were used to train a machine learning algorithm to predict length of stay throughout a patient's admission. This algorithm was then validated in a validation cohort.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: