Predict hourly patient discharge probability in intensive care units using data mining

The length of stay (LOS) is an important metric to manage hospital units since a correct prevision of the LOS can contribute to reduce costs and optimize resources. This metric become more fundamental in intensive care units (ICU) where controlling patient condition and predict clinical events is ve...

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Bibliographic Details
Main Author: Portela, Filipe (author)
Other Authors: Veloso, Rui (author), Santos, Manuel Filipe (author), Machado, José Manuel (author), Abelha, António (author), Silva, Álvaro (author), Rua, Fernando (author), Oliveira, Sérgio Manuel Costa (author)
Format: article
Language:por
Published: 2014
Subjects:
LOS
INTCare
ICU
Data mining
Occupancy rate
Online Access:http://hdl.handle.net/1822/31406
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/31406

Internet

http://hdl.handle.net/1822/31406

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