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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...
Tallennettuna:
| Julkaisussa: | J Healthc Eng |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Hindawi Publishing Corporation
2016
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| Aiheet: | |
| Linkit: | 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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