UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2303389


Registration ID:
508769

Page Number

d709-d714

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Title

A Review Paper on Detection and Classification of Cancer using Machine Learning Algorithms

Abstract

Today, cancer has become a very common disease which can affect any other person in current scenario and leading towards death. Cancer, for which early diagnosis and detection is especially important. The earlier cancer is detected, the higher the chances of the patient being treated. Therefore, many early detection or prediction methods are being investigated and used in the fight against cancer. In this paper, the aim was to review the methods and algorithms used for detection and classification of cancer early with noninvasive and painless methods that use various Machine Learning algorithms and its accuracy.

Key Words

Machine Learning(ML), Cancer, Classification, Detection, Machine learning algorithms, Prediction of tumor

Cite This Article

"A Review Paper on Detection and Classification of Cancer using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.d709-d714, March-2023, Available :http://www.jetir.org/papers/JETIR2303389.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

"A Review Paper on Detection and Classification of Cancer using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppd709-d714, March-2023, Available at : http://www.jetir.org/papers/JETIR2303389.pdf

Publication Details

Published Paper ID: JETIR2303389
Registration ID: 508769
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: d709-d714
Country: Surat, Guajarat, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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