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 the likelihood of 30-day readmission throughout a patient's admission. This algorithm was then validated in a validation cohort.
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30-Day Readmission [ yes / no ]
Timeframe: From date of admission to 30-days post-discharge (31 to 54 days)