Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions.

ABSTRACT:

Importance

Hospital readmissions are associated with patient harm and expense. Ways to prevent hospital readmissions have focused on identifying patients at greatest risk using prediction scores.

Objective

To identify the type of score that best predicts hospital readmissions.

Design, setting, and participants

This prognostic study included 14 062 consecutive adult hospital patients with 16 649 discharges from a tertiary care center, suburban community hospital, and urban critical access hospital in Maryland from September 1, 2016, through December 31, 2016. Patients not included as eligible discharges by the Centers for Medicare & Medicaid Services or the Chesapeake Regional Information System for Our Patients were excluded. A machine learning rank score, the Baltimo

SUBMITTER: Morgan DJ 

PROVIDER: S-EPMC6484642 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature