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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

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