Recursive neural networks in hospital bed occupancy forecasting

Recursive neural networks in hospital bed occupancy forecasting

Abstract Background Efficient planning of hospital bed usage is a necessary condition to minimize the hospital costs. In the presented work we deal with the problem of occupancy forecasting in the scale of several months, with a focus on personnel’s holiday planning. Methods We construct a model bas...

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Bibliographic Details
Main Authors: Ekaterina Kutafina, Istvan Bechtold, Klaus Kabino, Stephan M. Jonas
Format: Article
Language:English
Published: BMC 2019-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Hospital bed occupancy
Time series forecasting
Recurrent neural networks
NARX
Online Access:http://link.springer.com/article/10.1186/s12911-019-0776-1

Internet

http://link.springer.com/article/10.1186/s12911-019-0776-1

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