UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 1
January-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2101163


Registration ID:
305237

Page Number

1297-1301

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Title

Machine Learning Method for the Breast Cancer Detection

Authors

Abstract

Bioinformatics can be defined as a science of storing, fetching, arranging, interpreting and using information obtained from biological series and molecules. Prediction can be defined as a statement about future event on the basis of present situation. This work focuses on diabetic prediction with machine learning algorithms. The breast cancer prediction has various steps. A voting-based classifier is devised in this research to predict cancer. The performance for the breast cancer prediction is optimized up to 2 percent using proposed algorithm.

Key Words

Breast cancer, Machine learning, Classification, Voting

Cite This Article

"Machine Learning Method for the Breast Cancer Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.1297-1301, January-2021, Available :http://www.jetir.org/papers/JETIR2101163.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Machine Learning Method for the Breast Cancer Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp1297-1301, January-2021, Available at : http://www.jetir.org/papers/JETIR2101163.pdf

Publication Details

Published Paper ID: JETIR2101163
Registration ID: 305237
Published In: Volume 8 | Issue 1 | Year January-2021
DOI (Digital Object Identifier):
Page No: 1297-1301
Country: Ambala Cantt, Haryana, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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