
Computational Intelligence and Its Applications in Healthcare
- 1st Edition - July 29, 2020
- Imprint: Academic Press
- Editors: Jitendra Kumar Verma, Sudip Paul, Prashant Johri
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 6 0 4 - 1
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 0 6 1 9 - 5
Computational Intelligence and Its Applications in Healthcare presents rapidly growing applications of computational intelligence for healthcare systems, including intell… Read more
Purchase options

- 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
Engineers, biomedical engineers, and researchers in computational intelligence, as well as computer scientists researching computational intelligence and its applications in healthcare
- 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
- Edition: 1
- Published: July 29, 2020
- Imprint: Academic Press
- Language: English
JV
Jitendra Kumar Verma
SP
Sudip Paul
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.