Prediction of Expected Length of Hospital Stay Using Machine Learning

Status Active, not recruiting

Clinical Trial 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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT04784351
Study type	Observational
Source	Brigham and Women's Hospital
Contact
Status	Active, not recruiting
Phase
Start date	March 20, 2021
Completion date	December 1, 2021

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