Computational Intelligence and Its Applications in Healthcare

Table of Contents

1. The impact of Internet of Things and data semantics on decision making for outpatient monitoring

2. Deep-learning approaches for health care: Patients in intensive care

3. Brain MRI image segmentation using nature-inspired Black Hole metaheuristic clustering approach

4. Blockchain for public health: Technology, applications, and a case study

5. Compression and multiplexing of medical images using optical image processing

6. Analysis of skin lesions using machine learning techniques

7. Computational intelligence using ontology-A case study on the knowledge representation in a clinical decision support system

8. Neural network-based abnormality detection for electrocardiogram time signals

9. Machine learning approaches for acetic acid test based uterine cervix image analysis

10. Convolutional neural network for biomedical applications

11. Alzheimer's disease classification using deep learning

12. Diabetic retinopathy identification using autoML

13. Knowledge-based systems in medical applications

14. Convolution neural network-based feature learning model for EEG-based driver alert/drowsy state detection

15. Analysis on the prediction of central line-associated bloodstream infections (CLABSI) using deep neural network classification

Authors

Jitendra Kumar Verma Assistant Professor, School of Computing Science and Engineering, Galgotias University, India. Dr. Jitendra Kumar Verma is an Assistant Professor in the School of Computing Science and Engineering, Galgotias University, India. He holds a Ph.D. in Computer Science and Technology from Jawaharlal Nehru University, India. He has been a Visiting Research Scholar at Julius-Maximillian University, Wurzburg, Germany. His research interests include cloud computing, mobile cloud, machine learning, soft computing, fuzzy systems, pattern recognition, bio-inspired phenomena, and advanced optimization models and computation. Sudip Paul Associate Professor, Department of Biomedical Engineering, School of Technology, North-Eastern Hill University, Shillong, India. Dr. Sudip Paul, Post-Doctoral Fellow and PhD, is currently an Associate Professor & Teacher In-Charge in the Department of Biomedical Engineering, School of Technology, North-Eastern Hill University (NEHU), Shillong, India. He has published over 40 journal papers, over 35 conference papers, and has contributed his knowledge as editorial board member and reviewer for multiple international journals. He has been granted one patent of eight filled and completed more than ten book projects. Dr. Sudip has presented his research accomplishments in countries around the world. He is a member of multiple societies and professional bodies, including APSN, ISN, IBRO, SNCI, SfN, IEEE, IAS. Dr. Sudip has received many awards, including the World Federation of Neurology (WFN) traveling fellowship, Young Investigator Award, IBRO Travel Awardee, and ISN Travel Awardee. Prashant Johri Harbin Institute of Technology. Dr. Prashant Johri. Professor in School of Computing Science & Engineering, Galgotias University, Greater Noida, India. He completed his B.Sc.(H) in 1992 and M.C.A. in 1992 from A.M.U, Aligarh and Ph.D. in Computer Science from Jiwaji University, Gwalior in 2011, India. He has also worked as a Professor and Director (M.C.A.), Galgotias Institute of Management and Technology and Noida Institute of Engineering and Technology, Gr. Noida. He has served as Chair in many conferences in India and Abroad. He has supervised 2 PhD students and M. Tech. students. He published more than 100 research papers in National and International Journals and Conferences. He has published edited books in Elsevier and Springer. He organized several Conferences / Workshops/Seminars at the national and international levels. His research interest includes Artificial Intelligence, Machine Learning, Data Science, Deep Reinforcement Learning, Information Security, Cloud Computing, Block Chain, Healthcare, Agriculture, Image Processing, Software Reliability.