Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network

For hospitals' admission management, the ability to predict length of stay (LOS) as early as in the preadmission stage might be helpful to monitor the quality of inpatient care. This study is to develop artificial neural network (ANN) models to predict LOS for inpatients with one of the three p...

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Detalles Bibliográficos
Autores principales: Tsai, Pei-Fang (Jennifer), Chen, Po-Chia, Chen, Yen-You, Song, Hao-Yuan, Lin, Hsiu-Mei, Lin, Fu-Man, Huang, Qiou-Pieng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5058566/
https://www.ncbi.nlm.nih.gov/pubmed/27195660
http://dx.doi.org/10.1155/2016/7035463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5058566/
https://www.ncbi.nlm.nih.gov/pubmed/27195660
http://dx.doi.org/10.1155/2016/7035463

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