Research Article
Review of Breast Cancer Prediction using Machine Learning Techniques
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 184 - Issue 46 |
| Published: Feb 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 },
year = { 2023 },
volume = { 184 },
number = { 46 },
pages = { 1-4 },
doi = { 10.5120/ijca2023922563 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2023
%A Aman Shakya
%A Kaptan Singh
%A Amit Saxena
%T Review of Breast Cancer Prediction using Machine Learning Techniques%T
%J International Journal of Computer Applications
%V 184
%N 46
%P 1-4
%R 10.5120/ijca2023922563
%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.
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