Predict sepsis level in intensive medicine : data mining approach

This paper aims to support doctor’s decision-making on predicting the Sepsis level. Thus, a set of Data Mining (DM) models were developed using prevision techniques and classification models. These models enable a better doctor’s decision having into account the Sepsis level of the patient. The DM m...

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Bibliographic Details
Main Author: Gonçalves, João (author)
Other Authors: Portela, Filipe (author), Santos, Manuel Filipe (author), Silva, Álvaro (author), Machado, José Manuel (author), Abelha, António (author)
Format: conferencePaper
Language:eng
Published: 2013
Subjects:
Data mIning
Classification
Intensive care
Sepsis
INTCare
Science & Technology
Online Access:http://hdl.handle.net/1822/23938
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/23938

Internet

http://hdl.handle.net/1822/23938

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