{"product_id":"neural-networks-and-artificial-intelligence-for-biomedical-engineering-isbn-9780780334045","title":"Neural Networks and Artificial Intelligence for Biomedical Engineering","description":"Using examples drawn from biomedicine and biomedical engineering, this essential reference book brings you 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 aids, including hybrid systems. \u003cp\u003e\u003ci\u003eNeural Networks and Artificial Intelligence for Biomedical Engineering\u003c\/i\u003e offers students and scientists of biomedical engineering, biomedical informatics, and medical artificial intelligence a deeper understanding of the powerful techniques now in use with a wide range of biomedical applications.\u003c\/p\u003e \u003cp\u003eHighlighted topics include:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eTypes of neural networks and neural network algorithms\u003c\/li\u003e \u003cli\u003eKnowledge representation, knowledge acquisition, and reasoning methodologies\u003c\/li\u003e \u003cli\u003eChaotic analysis of biomedical time series\u003c\/li\u003e \u003cli\u003eGenetic algorithms\u003c\/li\u003e \u003cli\u003eProbability-based systems and fuzzy systems\u003c\/li\u003e \u003cli\u003eEvaluation and validation of decision support aids\u003c\/li\u003e \u003c\/ul\u003e  Preface.\u003cbr\u003e \u003cbr\u003e Acknowledgments.\u003cbr\u003e \u003cbr\u003e Overview.\u003cbr\u003e \u003cbr\u003e NEURAL NETWORKS.\u003cbr\u003e \u003cbr\u003e Foundations of Neural Networks.\u003cbr\u003e \u003cbr\u003e Classes of Neural Networks.\u003cbr\u003e \u003cbr\u003e Classification Networks and Learning.\u003cbr\u003e \u003cbr\u003e Supervised Learning.\u003cbr\u003e \u003cbr\u003e Unsupervised Learning.\u003cbr\u003e \u003cbr\u003e Design Issues.\u003cbr\u003e \u003cbr\u003e Comparative Analysis.\u003cbr\u003e \u003cbr\u003e Validation and Evaluation.\u003cbr\u003e \u003cbr\u003e ARTIFICIAL INTELLIGENCE.\u003cbr\u003e \u003cbr\u003e Foundation of Computer-Assisted Decision Making.\u003cbr\u003e \u003cbr\u003e Knowledge Representation.\u003cbr\u003e \u003cbr\u003e Knowledge Acquisition.\u003cbr\u003e \u003cbr\u003e Reasoning Methodologies.\u003cbr\u003e \u003cbr\u003e Validation and Evaluation.\u003cbr\u003e \u003cbr\u003e ALTERNATIVE APPROACHES.\u003cbr\u003e \u003cbr\u003e Genetic Algorithms.\u003cbr\u003e \u003cbr\u003e Probabilistic Systems.\u003cbr\u003e \u003cbr\u003e Fuzzy Systems.\u003cbr\u003e \u003cbr\u003e Hybrid Systems.\u003cbr\u003e \u003cbr\u003e HyperMerge, a Hybird Expert System.\u003cbr\u003e \u003cbr\u003e Future Perspectives.\u003cbr\u003e \u003cbr\u003e Index.\u003cbr\u003e \u003cbr\u003e About the Authors. \u003cb\u003eDonna L. Hudson\u003c\/b\u003e is professor of Family and Community Medicine at the University of California, San Francisco (UCSF), and Director of Medical Information Resources at the UCSF Fresno Medical Education Program. She is also a member of the executive committee for the Medical Information Sciences Program at UCSF and a member of the Bioengineering Graduate Group at UC Berkeley and UCSF. In 1987 Dr. Hudson received the Faculty Research Award at UCSF. She has published widely and is coauthor of Comparative Approaches to Medical Reasoning (World Scientific, 1995). She serves as the associate editor for Intelligent Systems for the ISCA International Journal of Computers and Their Applications. Dr. Hudson is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Administrative Committee of IEEE Engineering in Medicine and Biology Society, a Fellow of the American Institute of Medical and Biological Engineering, and president of the International Society for Computers and Their Applications.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eMaurice E. Cohen\u003c\/b\u003e is professor of Radiology at the University of California, San Francisco; professor of Mathematics at California State University, Fresno; professor and Founding Member of the Graduate Group in Medical Information Science, and a member of the Bioengineering Graduate Group at UC Berkeley and UCSF. In 1977 Dr. Cohen solved a problem involving Jacobi functions that was believed to be impossible. He received the 1985 American Medical Informatics Association Best Paper Award, the 1991 Outstanding Professor Award at CSUF, and the 1996 Faculty Research Award at UCSF. Dr. Cohen is a Fellow of the American Institute for Medical and Biological Engineering and treasurer of the International Society for Computers and Their Applications. He has published widely and is coauthor of Comparative Approaches to Medical Reasoning (World Scientific, 1995). An accomplished artist, Dr. Cohen provided the cover art for this book. It is an oil painting entitled \"Yosemite Vignettes.\"  Biomedical\/Electrical Engineering Neural Networks and Artificial Intelligence for Biomedical Engineering 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: \u003cul\u003e \u003cli\u003eTypes of neural networks and neural network algorithms\u003c\/li\u003e \u003cli\u003eKnowledge-based representation and acquisition\u003c\/li\u003e \u003cli\u003eReasoning methodologies and searching strategies\u003c\/li\u003e \u003cli\u003eChaotic analysis of biomedical time series\u003c\/li\u003e \u003cli\u003eGenetic algorithms\u003c\/li\u003e \u003cli\u003eProbability-based systems and fuzzy systems\u003c\/li\u003e \u003cli\u003eCase study and MATLAB® exercises\u003c\/li\u003e \u003cli\u003eEvaluation and validation of decision support aids\u003c\/li\u003e \u003c\/ul\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47989682110693,"sku":"NP9780780334045","price":234.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780780334045.jpg?v=1761785086","url":"https:\/\/k12savings.com\/es\/products\/neural-networks-and-artificial-intelligence-for-biomedical-engineering-isbn-9780780334045","provider":"K12savings","version":"1.0","type":"link"}