Breast cancer risk prediction in African women using Random Forest Classifier

Introduction: One of the most important steps in combating breast cancer is early and accurate diagnosis. Unfortunately, breast cancer is asymptomatic at the early stage, although some symptoms are presented at a later time, but at symptomatic stage treatment could be complicated or even become impo...

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Bibliographic Details

Published in:	Cancer Treatment and Research Communications
Main Authors:	Babafemi Oluropo Macaulay, Benjamin Segun Aribisala, Soji Alabi Akande, Boluwaji Ade Akinnuwesi, Olusola Aanu Olabanjo
Format:	Article
Language:	English
Published:	Elsevier 2021-01-01
Subjects:	Breast cancer Random forest Machine learning African women Risk prediction Feature selection
Online Access:	http://www.sciencedirect.com/science/article/pii/S2468294221000940