Machine Learning for a Medical Prediction System “Breast Cancer Detection” as a use case-Reference-Cited by-同舟云学术

Machine Learning for a Medical Prediction System “Breast Cancer Detection” as a use case

Published:2023 Issue: Volume:412 Page:01092
ISSN:2267-1242
Container-title:E3S Web of Conferences
language:
Short-container-title:E3S Web Conf.

Author:

Haitam Ettazi,Najat Rafalia,Jaafar Abouchabaka

Abstract

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.

Publisher

EDP Sciences

Subject

General Medicine

Link

https://www.e3s-conferences.org/10.1051/e3sconf/202341201092/pdf

Reference12 articles.

1. Igor Fisher, et Poland Jan, 2005. « Amplifying the block matrix structure for spectral clustering ». Technical Report, IOSIA, pp. 03-05.

2. Breast cancer detection using rank nearest neighbor classification rules

3. Sha Fei et al. “Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines.” NIPS (2002).

4. Kaizhu Huang, Haiqin Yang, Irwin King, Lyu Michael R, Laiwan Chan, 2004. « Biased minimax probability machine for medical diagnosis ». The 8th International Symposium on Artificial Intelligence and Mathematics, pp. 4-6.

5. Madden Michael G., 2002. « Evaluation of the Performance of the Markov Blanket Bayesian Classifier Algorithm». CoRR, cs. LG/02l1003.