Computational Intelligence and Its Applications in Healthcare
- 1st Edition - July 29, 2020
- Latest edition
- Editors: Jitendra Kumar Verma, Sudip Paul, Prashant Johri
- Language: English
Computational Intelligence and Its Applications in Healthcare presents rapidly growing applications of computational intelligence for healthcare systems, including intell… Read more
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Description
Description
Key features
Key features
- Provides coverage of fuzzy logic, neural networks, evolutionary computation, learning theory, probabilistic methods, telemedicine, and robotics applications
- Includes coverage of artificial intelligence and biological applications, soft computing, image and signal processing, and genetic algorithms
- Presents the latest developments in computational methods in healthcare
- Bridges the gap between obsolete literature and current literature
Readership
Readership
Engineers, biomedical engineers, and researchers in computational intelligence, as well as computer scientists researching computational intelligence and its applications in healthcare
Table of contents
Table of contents
- The impact of Internet of Things and data semantics on decision making for outpatient monitoring
- Deep-learning approaches for health care: Patients in intensive care
- Brain MRI image segmentation using nature-inspired Black Hole metaheuristic clustering approach
- Blockchain for public health: Technology, applications, and a case study
- Compression and multiplexing of medical images using optical image processing
- Analysis of skin lesions using machine learning techniques
- Computational intelligence using ontology—A case study on the knowledge representation in a clinical decision support system
- Neural network-based abnormality detection for electrocardiogram time signals
- Machine learning approaches for acetic acid test based uterine cervix image analysis
- Convolutional neural network for biomedical applications
- Alzheimer’s disease classification using deep learning
- Diabetic retinopathy identification using autoML
- Knowledge-based systems in medical applications
- Convolution neural network-based feature learning model for EEG-based driver alert/drowsy state detection
- Analysis on the prediction of central line-associated bloodstream infections (CLABSI) using deep neural network classification
Product details
Product details
- Edition: 1
- Latest edition
- Published: July 29, 2020
- Language: English
About the editors
About the editors
JV
Jitendra Kumar Verma
SP
Sudip Paul
Dr. Sudip Paul presently holds the position of Associate Professor in the Department of Biomedical Engineering at the National Institute of Technology, Raipur, India. He conducted his post-doctoral research at the School of Computer Science and Software Engineering, The University of Western Australia, Perth, under the Biotechnology Overseas Associateship scheme for scientists from the North-Eastern States of India (2017-18), supported by the Department of Biotechnology, Government of India. He obtained his Ph.D. from the Indian Institute of Technology (Banaras Hindu University), Varanasi, specializing in Electrophysiology and brain signal analysis. He organized numerous workshops and conferences, notably the 40th Indian Academy of Neuroscience Annual Meeting in 2022, the IEEE Conference on Computational Performance Evaluation in 2020 and 2021, the IRBO/APRC Associate School in 2017, the IBRO Global Engagement in 2021, the IBRO Meeting in 2021, and the 29th Annual Meeting of the Society for Neurochemistry, India in 2015. Dr. Sudip has published about 60 publications in international and national journals, as well as over 50 conference papers across several international and national platforms. He possesses 7 granted patents and 6 granted copyrights. He has finalized 20 book projects as an editor or author with Springer Nature, Elsevier, IGI Global, and others. Dr. Sudip is a Senior Member of IEEE and belongs to various societies and professional organizations, including IAN, IEEE-EMBS, APSN, ISN, and IBRO. He was honored with numerous accolades, notably the World Federation of Neurology (WFN) traveling fellowship, the Young Investigator Award, the IBRO Travel Award, and the ISN Travel Award. Dr. Sudip also imparted his expertise to other international publications as a member of the editorial board and as a reviewer. He has showcased his research achievements in several nations, including the USA, Greece, France, South Africa, and Australia.
PJ
Prashant Johri
Dr. Prashant Johri is a Professor in the School of Computing Science & Engineering, Galgotias University, Greater Noida, India. He received his B.Sc.(H) and M.C.A. from Aligarh Muslim University, Aligarh, and a Ph.D. in Computer Science from Jiwaji University, Gwalior, India. He has also worked as a Professor and Director (M.C.A.), Galgotias Institute of Management and Technology (G.I.M.T.), and Noida Institute of Engineering and Technology (N.I.E.T.) Greater Noida. He has served as Chair in many conferences and affiliated as a member of the program committee in many conferences in India and abroad. He has supervised 10 PhD students and many PG and U G Students for their theses and projects. He has published over 200 scientific articles, including journal papers, book chapters, and conference papers. He has published many edited books with reputable publications. He has organized several conferences/Workshops/Seminars at the national and international levels. He voluntarily served as a reviewer for various International Journals and conferences. His research interests include Artificial Intelligence, Machine Learning, Data Science, Blockchain, Healthcare, Agriculture, Entrepreneurship, Sustainable Development, Image Processing, Software Reliability, and Cloud Computing. He is actively publishing in these areas.