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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Bibliographische Detailangaben
Veröffentlicht in:J Healthc Eng
Hauptverfasser: Tsai, Pei-Fang (Jennifer), Chen, Po-Chia, Chen, Yen-You, Song, Hao-Yuan, Lin, Hsiu-Mei, Lin, Fu-Man, Huang, Qiou-Pieng
Format: Artigo
Sprache:Inglês
Veröffentlicht: Hindawi Publishing Corporation 2016
Schlagworte:
Research Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5058566/
https://ncbi.nlm.nih.gov/pubmed/27195660
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/7035463
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