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2020 | OriginalPaper | Chapter

Analysis of Classification Algorithms for Breast Cancer Prediction

Authors : S. P. Rajamohana, K. Umamaheswari, K. Karunya, R. Deepika

Published in: Data Management, Analytics and Innovation

Publisher: Springer Singapore

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Abstract

According to global statistics, breast cancer is the second of all the fatal diseases that cause death. It will cause an adverse effect when left unnoticed for a long time. However, its early diagnosis provides significant treatment, thus improving the prognosis and the chance of survival. Therefore, accurate classification of the benign tumor is necessary in order to improve the living of the people. Thus, precision in the diagnosis of breast cancer has been a significant topic of research. Even though several new methodologies and techniques are proposed machine learning algorithms and artificial intelligence concepts lead to accurate diagnosis, consequently improving the survival rate of women. The major intent of this research work is to summarize various researches done on predicting breast cancer and classifying them using data mining techniques.

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Metadata
Title
Analysis of Classification Algorithms for Breast Cancer Prediction
Authors
S. P. Rajamohana
K. Umamaheswari
K. Karunya
R. Deepika
Copyright Year
2020
Publisher
Springer Singapore
Book
Data Management, Analytics and Innovation

Print ISBN: 978-981-329-948-1

Electronic ISBN: 978-981-329-949-8

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-32-9949-8_36