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Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method

Developing a prediction model from risk factors can provide an efficient method to recognize breast cancer. Machine learning (ML) algorithms have been applied to increase the efficiency of diagnosis at the early stage. This paper studies a support vector machine (SVM) combined with an extremely rand...

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Principais autores: Ganjar Alfian, Muhammad Syafrudin, Imam Fahrurrozi, Norma Latif Fitriyani, Fransiskus Tatas Dwi Atmaji, Tri Widodo, Nurul Bahiyah, Filip Benes, Jongtae Rhee
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-09-01
Serier:Computers
Fag:
breast cancer
support vector machine
extra-trees
risk factors
Online adgang:https://www.mdpi.com/2073-431X/11/9/136
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