Angielski
Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance, and empower inter-domain research based on computational intelligence in healthcare. It serves as a reference for pervasive healthcare domain which takes into consideration future and beyond the new convergent computing and other applications.The book discusses topics such as mathematical modeling in medical imaging; predictive modeling based on artificial intelligence and deep learning; smart healthcare and wearable devices; and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences, and pervasive and ubiquitous techniques in healthcare.It is a valuable resource for graduate students and researchers in medical informatics, and members of biomedical field and healthcare industry who are interested in learning more about novel technologies and their application in the field. Presents advanced procedures to address and enhance available diagnostic methods Focuses on identifying challenges and solutions through integrated approach, shaping path for new research dimensions Discusses implementation of deep learning techniques for the detection and classification of diseases
