Research Approach With Machine Learning Underpinned

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Copyright: 2021
Pages: 35
Source title: Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis
Source Author(s)/Editor(s): Zhongyu Lu (University of Huddersfield, UK), Qiang Xu (University of Huddersfield, UK), Murad Al-Rajab (University of Huddersfield, UK & Abu Dhabi University, UAE)and Lamogha Chiazor (University of Huddersfield, UK)
DOI: 10.4018/978-1-7998-7316-7.ch003

Keywords: Knowledge Management and Library Science / Machine Learning / Medical Diagnosis and Practice / Medical Information Science Reference

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Abstract

This chapter describes several methodologies and proposed models used to examine the accuracy and efficiency of high-performance colon-cancer feature selection and classification algorithms to solve the problems identified in Chapter 2. An elaboration of the diverse methods of gene/feature selection algorithms and the related classification algorithms implemented throughout this study are presented. A prototypical methodology blueprint for each experiment is developed to answer the research questions in Chapter 1. Each system model is also presented, and the measures used to validate the performance of the model's outcome are discussed.

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