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This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative...

This book describes current and potential use of artificial intelligence and computational intelligence techniques in biomedicine and other application areas. Medical applications range from general diagnostics to processing of X-ray images to e-medicine-related privacy issues.Medical community understandably prefers methods that have been successful other on other application areas, where possible mistakes are not that critical. This book describes many promising methods related to deep learning, fuzzy techniques, knowledge graphs, and quantum computing. It also describes the results of...

This book is an effort to review the theoretical framework for the use of alternative assessment in EFL contexts and provides a collection of empirical research on alternative assessment for different groups of EFL learners in various classrooms. The aim of the book is not to simply review the past literature on alternative assessment in EFL, rather it aims to evaluate current language policy reforms, in which opportunities for alternative assessment are incorporated. Recent developments and possibilities for alternative assessment implementation in specific language skills are encouraged....