Prediction of Expected Length of Hospital Stay Using Machine Learning

Prediction of Expected Length of Hospital Stay Using Machine Learning

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.

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