UGC Approved Journal no 63975(19)

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

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2107613


Registration ID:
313133

Page Number

e850-e857

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Title

Classifying Breast Cancer With The Use Of Data Mining And Data Visualization Technique

Abstract

Mortality from cancer is one of the greatest human issues in underdeveloped countries. Though it may be prevented in various ways before it happens, certain cancers presently have no treatment. Prostate cancer is one of the most frequent types of cancer and its early diagnosis is the most important for its treatments. Breast carcinoma is a range of illnesses with clinical, histological, and molecular characteristics. Traditional categorization uses morphology to classify cancers with different behaviours and prognoses into discrete groups. The project has been done by following data mining and data visualisation method. However, existing classification systems are limited and the classification systems are predicted to be enhanced by new molecular approaches

Key Words

Breast cancer, Chemotherapy, morphology, data mining, and data visualisation

Cite This Article

"Classifying Breast Cancer With The Use Of Data Mining And Data Visualization Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.e850-e857, July-2021, Available :http://www.jetir.org/papers/JETIR2107613.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

"Classifying Breast Cancer With The Use Of Data Mining And Data Visualization Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppe850-e857, July-2021, Available at : http://www.jetir.org/papers/JETIR2107613.pdf

Publication Details

Published Paper ID: JETIR2107613
Registration ID: 313133
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: e850-e857
Country: Mapusa, Goa, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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