Comparative Study of Machine Learning Algorithms for Breast Cancer Prediction - A Review

Author:

Yadav Akshya1,Jamir Imlikumla1,Jain Raj Rajeshwari1,Sohani Mayank2

Affiliation:

1. Computer Engineering Department, MPSTME, NMIMS, Shirpur, District: Dhule, Maharashtra, India

2. Assistant Professor, Computer Engineering Department, MPSTME, NMIMS, Shirpur, District: Dhule, Maharashtra, India

Abstract

Cancer has been characterized as one of the leading diseases that causes death in humans. Breast cancer being a subtype of cancer causes death in one out of every eight women worldwide. The solution to counter this is by conducting early and accurate diagnosis for faster treatment. To achieve such accuracy in a short span of time proves difficult with existing techniques. In this paper, different machine learning algorithms which can be used as tools by physicians for early and effective detection and prediction of cancerous cells have been studied and introduced. The different algorithms introduced here are ANN, DT, Random Forest (RF), Naive Bayes Classifier (NBC), SVM and KNN. These algorithms are trained with a dataset that contain parameters describing the tumor of a person having breast cancer and are then used to classify and predict whether the cell is cancerous.

Publisher

Technoscience Academy

Subject

General Medicine

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1. Exploring Machine Learning Approaches for Breast Cancer Prediction: A Comparative Analysis with ANOVA-Based Feature Selection;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

2. Comparative Analysis of Machine Learning Methods for Multi-Year CVD Prediction;2023 International Conference on Smart Applications, Communications and Networking (SmartNets);2023-07-25

3. Prediction of breast cancer using machine learning algorithms on different datasets;Ingenieria Solidaria;2023-06-14

4. Breast Cancer Detection with Machine Learning-A Review;2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS);2023-03-23

5. Breast Cancer Detection Using a PSO-ANN Machine Learning Technique;Advances in Medical Technologies and Clinical Practice;2022-10-14

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