Enhancing Breast Cancer Risk Prediction with Machine Learning: Integrating BMI, Smoking Habits, Hormonal Dynamics, and BRCA Gene Mutations—A Game-Changer Compared to Traditional Statistical Models?

Enhancing Breast Cancer Risk Prediction with Machine Learning: Integrating BMI, Smoking Habits, Hormonal Dynamics, and BRCA Gene Mutations—A Game-Changer Compared to Traditional Statistical Models?

The association between genetics and lifestyle factors is crucial when determining breast cancer susceptibility, a leading cause of deaths globally. This research aimed to compare the body mass index, smoking behavior, hormonal influences, and BRCA gene mutations between affected patients and health...

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Bibliographic Details
Main Authors: Luana Conte, Emanuele Rizzo, Emanuela Civino, Paolo Tarantino, Giorgio De Nunzio, Elisabetta De Matteis
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Applied Sciences
Subjects:
breast cancer risk
risk factors
machine learning
statistical models
Online Access:https://www.mdpi.com/2076-3417/14/18/8474
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https://www.mdpi.com/2076-3417/14/18/8474

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