Comparison of the Effectiveness of Various Classifiers for Breast Cancer Detection Using Data Mining Methods

Countless women and men worldwide have lost their lives to breast cancer (BC). Although researchers from around the world have proposed various diagnostic methods for detecting this disease, there is still room for improvement in the accuracy and efficiency with which they can be used. A novel appro...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Noor Kamal Al-Qazzaz, Iyden Kamil Mohammed, Halah Kamal Al-Qazzaz, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-11-01
Schriftenreihe:	Applied Sciences
Schlagworte:	breast cancer machine learning support vector machine k-nearest neighbors accuracy decision tree statistical features
Online-Zugang:	https://www.mdpi.com/2076-3417/13/21/12012
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