Covers the fundamentals of Machine Learning and Deep Learning in the context of healthcare applications
Discusses various data collection approaches from various sources and how to use them in Machine Learning/Deep Learning models
Integrates several aspects of AI-based Computational Intelligence like Machine Learning and Deep Learning from diversified perspectives which describe recent research trends and advanced topics in the field
Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics
Emphazises feature selection as an important step in any accurate model simulation, ML/DL methods are used to help train the system and extract the positive solution implicitly