Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real world biomedical and healthcare problems
Provides guidance in developing intelligence based diagnostic systems, efficient models and cost effective machines
Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems
Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real test-beds, and empirical characterization of security and privacy interoperability issues in healthcare applications
Explores and illustrates the current and future impacts of pandemics and mitigatse risk in healthcare with advanced analytics
