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Using examples drawn from biomedicine and biomedical engineering, this reference text provides comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. You will find practical solutions for biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision-making aids, including hybrid systems.
Neural Networks and Artificial Intelligence for Biomedical Engineering offers students and scientists of biomedical engineering, biomedical informatics- and medical artificial intelligence a deeper understanding of the powerful techniques currently used with a wide range of biomedical applications. Highlighted topics include : Types of neural networks and neural network algorithms ; Knowledge-based representation and acquisition ; Reasoning methodologies and searching strategies ; Chaotic analysis of biomedical time series ; Genetic algorithms ; Probability-based systems and fuzzy systems ; Case study and MATLAB exercises ; Evaluation and validation of decision support aids.