Breast cancer risk prediction in African women using Random Forest Classifier-Reference-Cited by-同舟云学术

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Breast cancer risk prediction in African women using Random Forest Classifier

Published:2021 Issue: Volume:28 Page:100396
ISSN:2468-2942
Container-title:Cancer Treatment and Research Communications
language:en
Short-container-title:Cancer Treatment and Research Communications

Author:

Macaulay Babafemi Oluropo,Aribisala Benjamin Segun,Akande Soji Alabi,Akinnuwesi Boluwaji Ade,Olabanjo Olusola Aanu

Publisher

Elsevier BV

Subject

Cancer Research,Oncology

Reference56 articles.

1. Data mining classification techniques applied for breast cancer diagnosis and prognosis;Gupta;Indian J Comput. Sci. Eng.,2011

2. The Biology of Cancer;Weinberg,2013

3. Computational systems biology of cancer;Barillot;Biomed Eng Online,2012

4. Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics;Pecorino,2012

5. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA Cancer J Clin,2018

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