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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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| Main Authors: | , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
American Medical Informatics Association
1999
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2232647/ https://ncbi.nlm.nih.gov/pubmed/10566358 |
| Clibeanna: |
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