| Issue |
E3S Web Conf.
Volume 412, 2023
International Conference on Innovation in Modern Applied Science, Environment, Energy and Earth Studies (ICIES’11 2023)
|
|
|---|---|---|
| Article Number | 01092 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202341201092 | |
| Published online | 17 August 2023 | |
Machine Learning for a Medical Prediction System “Breast Cancer Detection” as a use case
Faculty of Sciences, University of Ibn Tofail, Kenitra, Morocco
Breast cancer is a widespread and serious illness, highlighting the importance of an early detection tool that can provide prognostic information and suggest necessary lifestyle changes to prevent its advancement, also the environmental changes in our daily life have significantly enhance the chances of getting cancer at an early stage of our life. Machine learning has become an indispensable tool in addressing this pressing need, enhancing human capabilities and offering greater automation with reduced errors. In this article, a breast cancer detection and prediction system has been created, utilizing diverse machine learning models including KNN, LR, and XGBoost.
Key words: Machine Learning / KNN / Environmental changes XGBoost / LR / breast cancer / detection / prediction
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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