Performance of advanced machine learning algorithms overlogistic regression in predicting hospital readmissions: A meta-analysis

ABSTRACT:

Objectives

Machine learning algorithms are being increasingly used for predicting hospital readmissions. This meta-analysis evaluated the performance of logistic regression (LR) and machine learning (ML) models for the prediction of 30-day hospital readmission among patients in the US.

Methods

Electronic databases (i.e., Medline, PubMed, and Embase) were searched from January 2015 to December 2019. Only studies in the English language were included. Two reviewers performed studies screening, quality appraisal, and data collection. The quality of the studies was assessed using the Quality in Prognosis Studies (QUIPS) tool. Model performance was evaluated using the Area Under the Curve (AUC). A random-effects meta-analysis was performed using STATA 16.

Results

Nine

SUBMITTER: Talwar A 

PROVIDER: S-EPMC10474076 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature