WithdrawnNot Applicable

Prediction of Expected Length of Hospital Stay Using Machine Learning

Stopped: Insufficient resources.

United States0Started 2021-03-20

Plain-language 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.

Who can participate

Age range18 Years

SexALL

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Was a subject in the Brigham and Women's Home Hospital study and has a completed record in the study's database.

What they're measuring

Length of Stay

Timeframe: From date of admission to date of discharge (1 to 24 days)

Trial details

NCT IDNCT04784351

SponsorBrigham and Women's Hospital

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2026-08-01

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