A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.
The use of machine learning tools has become widespread in medical diagnosis. The main reason for this is the effective results obtained from classification and diagnosis systems developed to help medical professionals in the diagnosis phase of diseases. The primary objective of this study is to imp...
| Publicado en: | Journal of Medical Systems Vol. 40; no. 5; pp. 1 - 17 |
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| Autor principal: | |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
May2016
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| Acceso en línea: | Ver este registro en EBSCOhost |