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Evaluating variable selection methods for diagnosis of myocardial infarction.

This paper evaluates the variable selection performed by several machine-learning techniques on a myocardial infarction data set. The focus of this work is to determine which of 43 input variables are considered relevant for prediction of myocardial infarction. The algorithms investigated were logis...

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Detalhes bibliográficos
Main Authors: Dreiseitl, S., Ohno-Machado, L., Vinterbo, S.
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Informatics Association 1999
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2232647/
https://ncbi.nlm.nih.gov/pubmed/10566358
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