Prediction of Patient Deterioration Using Machine Learning

Prediction of Patient Deterioration 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 patient deterioration throughout a patient's admission. This algorithm was then validated in a validation cohort.

Inclusion Criteria:

Cared for in the Brigham and Women's Home Hospital study

Exclusion Criteria:

Incomplete continuous monitoring data