Pre-operative prediction of surgical morbidity in children: comparison of five statistical models.
Background: The accurate prediction of surgical risk is important to patients and physicians. Logistic regression (LR) models are typically used to estimate these risks. However, in the fields of data mining and machine-learning, many alternative classification and prediction algorithms have been de...
| Publicado en: | Computers in Biology & Medicine Vol. 57; pp. 54 - 66 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
2015
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| Acceso en línea: | Ver este registro en EBSCOhost |