Comparison of Back-Propagation Neural Network, LACE Index and HOSPITAL Score in Predicting All-Cause Risk of 30-Day Readmission

BACKGROUND: 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. METHODS: This was a retrospective cohort study from Januar...

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Detalles Bibliográficos
Autores principales: Lin, Chaohsin, Hsu, Shuofen, Lu, Hsiao-Feng, Pan, Li-Fei, Yan, Yu-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449689/
https://www.ncbi.nlm.nih.gov/pubmed/34548831
http://dx.doi.org/10.2147/RMHP.S318806

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449689/
https://www.ncbi.nlm.nih.gov/pubmed/34548831
http://dx.doi.org/10.2147/RMHP.S318806

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