Expert System Techniques in Biomedical Science Practice

Expert System Techniques in Biomedical Science Practice

Prasant Kumar Pattnaik (KIIT University (Deemed), India), Aleena Swetapadma (KIIT University, India) and Jay Sarraf (KIIT University, India)
Release Date: June, 2018|Copyright: © 2018 |Pages: 280
ISBN13: 9781522551492|ISBN10: 1522551492|EISBN13: 9781522551508|DOI: 10.4018/978-1-5225-5149-2

Description

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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Artificial Neural Networks
  • Bio-Signals
  • Biomedical Signal and Image Processing
  • Brain Computer Interface
  • Cognitive Al
  • Image Processing
  • Machine Learning
  • Medical Imaging
  • Soft Computing Techniques

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

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.
Aleena Swetapadma, Ph.D., is working as Assistant Professor at the School of Computer Engineering, KIIT University, Bhubaneswar. She did her B. Tech from CET, Bhubaneswar, Odisha, India), M. Tech and Ph. D from NIT, Raipur, India. Her field of interest includes Power System Protection, Data Mining, Brain Computer Interface and Artificial Intelligence Application
Jay Sarraf, M. Tech ( Computer Sc. and Engineering), is working as Assistant Professor at the School of Computer Engineering, KIIT University. His field of interest includes Brain Computer interface.