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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Detalhes bibliográficos
Autor principal: Veloso, Rui (author)
Outros Autores: Portela, Filipe (author), Santos, Manuel (author), Silva, Álvaro (author), Rua, Fernando (author), Abelha, António (author), Machado, José Manuel (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2014
Assuntos:
Clustering
Data mining
Intensive care units
SWIFT
Readmissions
Intensive care
INTCare
Readmission
Science & Technology
Texto completo:http://hdl.handle.net/1822/31384
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/31384

Texto Completo

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

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