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.