Survey of Breast Cancer Detection Using Machine Learning Techniques in Big Data

Author(s): Madhuri Gupta (Jaypeee Institute of Information Technology, Noida, India)and Bharat Gupta (Jaypee Institute of Information Technology, Noida, India)
Copyright: 2019
Pages: 13
EISBN13: 9781799803423

Purchase

View Survey of Breast Cancer Detection Using Machine Learning Techniques in Big Data on the publisher's website for pricing and purchasing information.

View Sample PDF

Abstract

Cancer is a disease in which cells in body grow and divide beyond the control. Breast cancer is the second most common disease after lung cancer in women. Incredible advances in health sciences and biotechnology have prompted a huge amount of gene expression and clinical data. Machine learning techniques are improving the prior detection of breast cancer from this data. The research work carried out focuses on the application of machine learning methods, data analytic techniques, tools, and frameworks in the field of breast cancer research with respect to cancer survivability, cancer recurrence, cancer prediction and detection. Some of the widely used machine learning techniques used for detection of breast cancer are support vector machine and artificial neural network. Apache Spark data processing engine is found to be compatible with most of the machine learning frameworks.

The IRMA Community

Research IRM

Survey of Breast Cancer Detection Using Machine Learning Techniques in Big Data

Purchase

Abstract

Related Content

IRMA Sponsors