A feature reduction and selection algorithm for improved obstructive sleep apnea classification process.
Feature reduction and selection of the best features for classification is a crucial stage for data analysis to reduce training time and overfitting. Commonly, feature reduction techniques rely on selecting features with high relevance to the outcome and minimum mutual information among one another....
| Publicado en: | Medical & Biological Engineering & Computing Vol. 59; no. 10; pp. 2063 - 2073 |
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| Autores principales: | , |
| Formato: | algorithm equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2021
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| Acceso en línea: | Ver este registro en EBSCOhost |