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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006337

Page Number

2336-2343

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Title

A Novel Approach for Improving Breast Cancer Risk Prediction using Wavelet based Feature Extraction and SVM

ISSN

2349-5162

Cite This Article

"A Novel Approach for Improving Breast Cancer Risk Prediction using Wavelet based Feature Extraction and SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.2336-2343, June-2020, Available :http://www.jetir.org/papers/JETIR2006337.pdf

Abstract

Breast cancer represents one of the diseases that make a high number of deaths every year. Classification and data mining methods are an effective way to classify data. Here, a common misconception is that predictive analytics and machine learning are the same thing where in predictive analysis is a statistical learning and machine learning is pattern recognition and explores the notion that algorithms can learn from and make predictions on data. In this paper, we are addressing the problem of predictive analysis by adding machine learning techniques for better prediction of breast cancer. In this, a performance comparison between different machine learning algorithms: Support Vector Machine (SVM) with GRB technique on the Machine Learning Repository Breast Cancer Coimbra (original) datasets is conducted. The main objective is to assess the correctness in classifying data with respect to efficiency and effectiveness of hybrid algorithm in terms of accuracy, precision, recall.

Key Words

Breast Cancer, Machine learning Algorithms, Support Vector Machine with GRB technique

Cite This Article

"A Novel Approach for Improving Breast Cancer Risk Prediction using Wavelet based Feature Extraction and SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp2336-2343, June-2020, Available at : http://www.jetir.org/papers/JETIR2006337.pdf

Publication Details

Published Paper ID: JETIR2006337
Registration ID: 234499
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 2336-2343
ISSN Number: 2349-5162

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Cite This Article

"A Novel Approach for Improving Breast Cancer Risk Prediction using Wavelet based Feature Extraction and SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp2336-2343, June-2020, Available at : http://www.jetir.org/papers/JETIR2006337.pdf




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