A comparative study of machine learning models for breast cancer prediction

Abstract

The enormous growth in the medical technologies and the availability of clinical data has motivated researchers to progress much towards predictive analytics. Integrating machine learning techniques to healthcare domain has a progressive outcome called Computer Aided Diagnosis. A comparative analysis is presented to study the suitability of machine learning algorithms for benchmark breast cancer data. Statistical non-parametric evaluation is also carried out to indicate the integrity of the framework.