This book explores the application of predictive intelligence techniques to solve complex problems in biomedical and health informatics. It focuses on developing computational models, methods, and tools for areas such as computer-aided diagnosis and therapy, intelligent biomedical image processing, computational anatomy, and bioinformatics. The authors highlight how computational intelligence, utilizing methods like neural networks, support vector machines, and evolutionary optimization, can address the challenges posed by large volumes of complex data in real-world biomedical and engineering applications.

The book is structured to provide practical and validated solutions to challenging biomedical and engineering problems. It emphasizes the application of various computational intelligence techniques, suggesting a focus on technical depth and methodological rigor. The content appears geared towards researchers and practitioners in biomedical engineering and health informatics seeking to leverage advanced computational methods for diagnosis, therapy, and data analysis.