Medical data set classification using a new feature selection algorithm combined with twin-bounded support vector machine.
Early diagnosis and treatment are the most important strategies to prevent deaths from several diseases. In this regard, data mining and machine learning techniques have been useful tools to help minimize errors and to provide useful information for diagnosis. Our paper aims to present a new feature...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 3; pp. 519 - 529 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2020
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| Acceso en línea: | Ver este registro en EBSCOhost |