Rating organ failure via adverse events using data mining in the intensive care unit

The main intensive care unit (ICU) goal is to avoid or reverse the organ failure process by adopting a timely intervention. Within this context, early identification of organ impairment is a key issue. The sequential organ failure assessment (SOFA) is an expert-driven score that is widely used in Eu...

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Bibliographic Details
Main Author: Silva, Álvaro (author)
Other Authors: Cortez, Paulo (author), Santos, Manuel Filipe (author), Gomes, Lopes (author), Neves, José (author)
Format: article
Language:eng
Published: 2008
Subjects:
Adverse event
Artificial neural network
Critical care
Data mining
Multinomial logistic regression
Organ failure assessment
artificial neural networks
Science & Technology
Online Access:http://hdl.handle.net/1822/8015
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/8015

Internet

http://hdl.handle.net/1822/8015

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