Open AccessComparison of Back-Propagation Neural Network, LACE Index and HOSPITAL Score in Predicting All-Cause Risk of 30-Day Readmission
Author(s) -
Chao–Hsin Lin,
Shuofen Hsu,
Hsin-Chun Lu,
LiFei Pan,
YuHua Yan
Publication year - 2021
Publication title -
risk management and healthcare policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 22
ISSN - 1179-1594
DOI - 10.2147/rmhp.s318806
Subject(s) - medicine , emergency medicine , index (typography) , cohort , retrospective cohort study , comorbidity , emergency department , hospital admission , computer science , psychiatry , world wide web
The main purpose of this study is to predict the all-cause risk of 30-day readmission by employing the back-propagation neural network (BPNN) in comparison with traditional risk assessment tools of LACE index and HOSPITAL scores.