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Reseach Article

Review of Breast Cancer Prediction using Machine Learning Techniques

by Aman Shakya, Kaptan Singh, Amit Saxena
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 46
Year of Publication: 2023
Authors: Aman Shakya, Kaptan Singh, Amit Saxena
10.5120/ijca2023922563

Aman Shakya, Kaptan Singh, Amit Saxena . Review of Breast Cancer Prediction using Machine Learning Techniques. International Journal of Computer Applications. 184, 46 ( Feb 2023), 1-4. DOI=10.5120/ijca2023922563

@article{ 10.5120/ijca2023922563,
author = { Aman Shakya, Kaptan Singh, Amit Saxena },
title = { Review of Breast Cancer Prediction using Machine Learning Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2023 },
volume = { 184 },
number = { 46 },
month = { Feb },
year = { 2023 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number46/32611-2023922563/ },
doi = { 10.5120/ijca2023922563 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:24:03.829969+05:30
%A Aman Shakya
%A Kaptan Singh
%A Amit Saxena
%T Review of Breast Cancer Prediction using Machine Learning Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 46
%P 1-4
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Breast cancer is a malignant neoplasm that develops in the breast tissues. Among the top causes of mortality in women, it is the most frequent form of cancer in females worldwide. Machine and deep learning approaches based on AI can successfully locate the prediction model. In this study, we examine the state of the art in applying machine learning to forecast breast cancer. The prediction model's important parameters are its accuracy and error rate.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Breast Cancer AI Machine Learning Accuracy Model Prediction.