A clustering approach for predicting readmissions in intensive medicine

Decision making assumes a critical role in the Intensive Medicine. Data Mining is emerging in the clinical area to provide processes and technologies for transforming data into useful knowledge to support clinical decision makers. Appling clustering techniques to the data available on the patients a...

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Bibliographic Details
Main Author: Veloso, Rui (author)
Other Authors: Portela, Filipe (author), Santos, Manuel (author), Silva, Álvaro (author), Rua, Fernando (author), Abelha, António (author), Machado, José Manuel (author)
Format: conferencePaper
Language:eng
Published: 2014
Subjects:
Clustering
Data mining
Intensive care units
SWIFT
Readmissions
Intensive care
INTCare
Readmission
Science & Technology
Online Access:http://hdl.handle.net/1822/31384
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/31384

Internet

http://hdl.handle.net/1822/31384

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