Developing the breast cancer risk prediction system using hybrid machine learning algorithms

Author:

Kazemi-Arpanahi Hadi,Afrash MohammadR,Bayani Azadeh,Shanbehzadeh Mostafa,Bahadori Mohammadkarim

Publisher

Medknow

Subject

Education,Medicine (miscellaneous)

Reference45 articles.

1. World Health Organization. Cancer. 2018 Available from: https://www.who.int/news-room/fact-sheets/detail/cancer.

2. Dhahri H, Al Maghayreh E, Mahmood A, Elkilani W, Faisal Nagi M. Automated breast cancer diagnosis based on machine learning algorithms. J Healthc Eng 2019;2019. doi: 10.1155/2019/4253641.

3. Predicting post-traumatic growth inventory (PTGI) based on the perceived social support; the mediating role of resilience in women with breast cancer: A structural equation modeling approach;Namini;Iran J Health Educ Health Promot,2021

4. Salod Z, Singh Y. Comparison of the performance of machine learning algorithms in breast cancer screening and detection: A protocol. J Public Health Res 2019;8. doi: 10.4081/jphr. 2019.1677.

5. Epidemiology of breast cancer;Key;Lancet Oncol,2001

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