Title

Predicting Readmission Following Hospital Treatment for Patients with Alcohol Related Diagnoses in an Australian Regional Health District

Publication Name

Studies in Health Technology and Informatics

Abstract

This study aims to investigate the prediction of hospital readmission of alcohol use disorder patients within 28 days of discharge and compare the performance of six machine learning methods i.e., random forest (RF), logistics regression, linear support vector machine (SVM), polynomial SVM, radial SVM, and sigmoid SVM.

Open Access Status

This publication may be available as open access

Volume

290

First Page

1072

Last Page

1073

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Link to publisher version (DOI)

http://dx.doi.org/10.3233/SHTI220273