Intelligent decision support systems

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Intelligent prediction and decision support systems leverage signal processing, computer vision, machine learning, software engineering, knowledge-based systems, data mining, and artificial intelligence. These systems, rooted in expert systems, genetic algorithms, artificial neural networks, and fuzzy logic, offer significant benefits in design, manufacturing, healthcare, and commercial software development. Key advantages include cost savings through expert system technology, expedited decision-making, timely project completion, enhanced product development, improved decision-making quality, and the preservation of individual expertise. They simplify complex decision problems, exemplified by applications in healthcare diagnostics. This book addresses the challenges associated with the development, implementation, and application of these systems across various domains. It aims to compile a diverse array of high-quality articles, including original research, methodological reviews, survey papers, case studies, and reports. Topics will encompass intelligent systems, expert prediction systems, evaluation models, decision support systems, and computer-aided diagnosis, providing a comprehensive resource for understanding and advancing these technologies.