Comparing the Performance of Feature Selection Methods for Predicting Gastric Cancer.

Background: Gastric cancer (GC) is a leading cause of cancer-related deaths, emphasizing the importance of timely diagnosis for effective treatment. Machine learning models have shown promise in assisting with GC diagnosis. Objectives: This study aimed at comparing the performance of various feature...

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Detalles Bibliográficos
Publicado en:International Journal of Cancer Management Vol. 16; no. 1; pp. 1 - 11
Autores principales: Mazreati, Hamed, Radfar, Reza, Sohrabi, Mohammad-Reza, Divshali, Babak Sabet, Afshar Kazemi, Mohammad Ali
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Medical Journals Commission of the Ministry of Health & Medical Education Dec2023
Acceso en línea:Ver este registro en EBSCOhost