Expert System Techniques in Biomedical Science Practice
Prasant Kumar Pattnaik (Redaktør) ; Aleena Swetapadma (Redaktør) ; Jay Sarraf (Redaktør)
Before the integration of expert systems in biomedical science, complex problems required human expertise to solve them through
conventional procedural methods. Advancements in expert systems allow for knowledge to be extracted when no human expertise is available and increases productivity through quick diagnosis. Les mer
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Vår pris:
3004,-
(Innbundet)
Fri frakt!
Leveringstid: Ikke i salg
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.
Before the integration of expert systems in biomedical science, complex problems required human expertise to solve them through
conventional procedural methods. Advancements in expert systems allow for knowledge to be extracted when no human expertise
is available and increases productivity through quick diagnosis.
Expert System Techniques in Biomedical Science Practice is an essential scholarly resource that contains innovative research on the methods by which an expert system is designed to solve complex problems through the automation of decision making through the use of if-then-else rules rather than conventional procedural methods. Featuring coverage on a broad range of topics such as image processing, bio-signals, and cognitive AI, this book is a vital reference source for computer engineers, information technologists, biomedical engineers, data-processing specialists, medical professionals, and industrialists within the fields of biomedical engineering, pervasive computing, and natural language processing.
Expert System Techniques in Biomedical Science Practice is an essential scholarly resource that contains innovative research on the methods by which an expert system is designed to solve complex problems through the automation of decision making through the use of if-then-else rules rather than conventional procedural methods. Featuring coverage on a broad range of topics such as image processing, bio-signals, and cognitive AI, this book is a vital reference source for computer engineers, information technologists, biomedical engineers, data-processing specialists, medical professionals, and industrialists within the fields of biomedical engineering, pervasive computing, and natural language processing.
Prasant Kumar Pattnaik, Ph.D. (Computer Science), Fellow IETE, Senior Member IEEE, is Professor at the School of Computer
Engineering, KIIT University, Bhubaneswar. He has more than a decade of teaching research experience. Dr. Pattnaik has published
numbers of Research papers in peer reviewed international journals and conferences. His researches areas are Computer Networks,
Data Mining, cloud computing, Mobile Computing. He authored many computer science books in field of Data Mining, Robotics,
Graph Theory, Turing Machine, Cryptography, Security Solutions in Cloud Computing, Mobile Computing and Privacy Preservation.