Using data mining for prediction of hospital length of stay: an application of the CRISP-DM Methodology

Hospitals are nowadays collecting vast amounts of data related with patient records. All this data hold valuable knowledge that can be used to improve hospital decision making. Data mining techniques aim precisely at the extraction of useful knowledge from raw data. This work describes an implementa...

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Detalhes bibliográficos
Autor principal: Caetano, Nuno (author)
Outros Autores: Cortez, Paulo (author), Laureano, Raul (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2015
Assuntos:
Medical data mining
Hospitalization process
Length of stay
CRISP-DM
Regression
Random forest
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
Texto completo:http://hdl.handle.net/1822/38196
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/38196

Texto Completo

http://hdl.handle.net/1822/38196

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