Hourly prediction of organ failure and outcome in intensive care based on data mining techniques

The use of Data Mining techniques makes possible to extract knowledge from high volumes of data. Currently, there is a trend to use Data Mining models in the perspective of intensive care to support physicians’ decision process. Previous results used offline data for the predicting organ failure and...

Full description

Bibliographic Details
Main Author: Santos, Manuel Filipe (author)
Other Authors: Portela, Filipe (author), Vilas-Boas, Marta (author), Silva, Álvaro (author), Rua, Fernando (author)
Format: conferencePaper
Language:eng
Published: 2010
Subjects:
INTCare
Intelligent Decision Support Systems
Real-Time prediction
Intensive care medicine
Clinical data mining
Hourly prediction
Science & Technology
Online Access:http://hdl.handle.net/1822/33064
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/33064

Internet

http://hdl.handle.net/1822/33064

Similar Items