A Novel Approach for improving Breast Cancer Prediction Using Wavelet based Feature extraction and SVM

Authors

  • Madhuri Maru  Information Technology Department, L.J. Institute of Engineering and Technology, Gujarat Technological University, Ahmedabad, Gujarat, India
  • Prof. Saket Swarndeep  Professor, L.J Institute of Engineering and Technology, Gujarat Technological University, Ahmedabad, Gujarat, India

DOI:

https://doi.org//10.32628/IJSRSET196634

Keywords:

Breast Cancer, Machine learning Algorithms, Image processing, Convolution Neural Network (CNN)

Abstract

Breast cancer represents one of the diseases that make a high number of deaths every year. It is the most common type of all cancers and the main cause of women's deaths worldwide. Classification and data mining methods are an effective way to classify data. Especially in medical field, where those methods are widely used in diagnosis and analysis to make decisions. 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), Decision Tree (C4.5), Naive Bayes (NB) and k Nearest Neighbors (k-NN) on the Wisconsin Breast Cancer (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, sensitivity and specificity.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-12-30

Issue

Volume 6, Issue 6, November-December-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Madhuri Maru, Prof. Saket Swarndeep, " A Novel Approach for improving Breast Cancer Prediction Using Wavelet based Feature extraction and SVM, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 6, pp.113-118, November-December-2019. Available at doi : https://doi.org/10.32628/IJSRSET196634