Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis presents algorithms that have been developed to evaluate big data approaches and cancer research. The chapters include artificial intelligence and machine learning approaches, as well as case studies to solve the predictive issues in colon cancer research. This book includes concepts and techniques used to run tasks in an automated manner with the intent to improve better accuracy in comparison with previous studies and methods. This book also covers the processes of research design, development, and outcome analytics in this field. Doctors, IT consultants, IT specialists, medical software professionals, data scientists, researchers, computer scientists, healthcare practitioners, academicians, and students can benefit from this critical resource.

Topics Covered
The many academic areas covered in this publication include, but are not limited to:
•Big Data
•Bioinformatics
•Cancer
•Cancer Detection
•Colon Cancer
•Data Analysis
•Hybrid-AutoML System
•Machine Learning
•Research Design
•Research Methodology