A novel approach for accurate prediction of spontaneous passage of ureteral stones: support vector machines.
The objective of this study was to optimally predict the spontaneous passage of ureteral stones in patients with renal colic by applying for the first time support vector machines (SVM), an instance of kernel methods, for classification. After reviewing the results found in the literature, we compar...
| Publicado en: | Kidney International Vol. 69; no. 1; pp. 157 - 161 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Jan2006
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| Acceso en línea: | Ver este registro en EBSCOhost |