Smart Computational Intelligence in Biomedical and Health Informatics
- Available for pre-order. Item will ship after August 26, 2021
Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-art innovations, research, design, and implementation of methodological and algorithmic solutions to data processing problems, designing, including analysis of evolving trends in health informatics and computer-aided diagnosis. Further, it describes practical, applications-led research on the use of methods and devices in clinical diagnosis, disease prevention, patient monitoring and management. It covers simulation and modeling, measurement and control, analysis, information extraction and monitoring of physiological data in clinical medicine and the biological sciences.
- Covers evolutionary approaches to solve optimization problems in biomedical engineering.
- Discusses IoT, Cloud computing, data analytics in healthcare informatics.
- Provides computational intelligence-based solution for diagnosis of diseases.
- Reviews modelling and simulations in designing of biomedical equipment.
- Promotes machine learning based approaches to improvements in biomedical engineering problems.
This book is aimed at researchers, graduate students in healthcare, biomedical engineering, health informatics, computational intelligence, and machine learning.
Table of Contents
1. Impact of gender on the Lipid Profile of Patients with Coronary Artery Disease: A Bayesian Analytical Approach
Vivek Verma, Ashwani Kumar Mishra, Anita Verma, Hafiz T.A. Khan, Dilip C. Nath and Rajiv Narang
2. Implementation of wearable ECG Monitor interfaced with real-time Location tracker
Aditya Anand Doshi, Utkarsh Nitin Kasara and Suchitra Khojeb
3. AI and Deep Learning for Biomedical Image Analysis
Priyatharshini Kirubakaran and Reena Roy R
4. Deep Learning: A Review on Supervised Architectures and their Applications to Decision Support System in medical field
Tajinder Pal Singh, Sheifali Gupta, Meenu Garg and Deepali Gupta
5. Automated View Orientation Classification for X-ray images using Deep Neural Networks
Karthik K. and Sowmya Kamath S.
6. Sustainable e-Health Solutions for Routine and Emergency Treatment: Scope of Informatics and Tele Medicine in India
Arindam Chakrabarty, Uday Sankar Das and Saket Kushwaha
7. Predicting Medical Procedures from Diagnostic Sequences using Neural Machine Translation
Siddhanth Pillay and Sowmya Kamath S
8. Sensing the Mood-Application of Machine Learning in Human Psychology Analysis and Cognitive Science
Ahona Ghosh and Sriparna Saha
9. Speech Emotion Recognition using Manta-Ray Foraging Optimization Based Feature Selection
Soham Chattopadhyay, Arijit Dey, Hritam Basak and Sriparna Saha
10. Internet of Things in healthcare Informatics
Vijayalakshmi A. and Hridya A
11. Deep Learning for the Prediction and Detection of Alzheimer's Disease (AD): : An Overview and Future Trends
Pavana Laxmi and Roopashree
12. A Text Analytics based E-Healthcare Decision Support Model using Machine learning Techniques
A.Sheik Abdullah, R.Parkavi, P.Karthikeyan and S.Selvakumar
Dr. Amit Kumar Manocha is presently working as an Associate Professor in Electrical Engineering at Maharaja Ranjit Singh Punjab Technical University, Bathinda, India. He is author of more than 50 research papers in refereed journals, International and national Conferences. Dr. Manocha successfully organized five International Conferences in the capacity of Conference Chair, Convener, editor of conference proceedings and more than 25 Workshops & Seminars. He participated in many International Conferences as Advisory Committee, Session Chair, and member of Technical Committee in International conferences. He is member in Editorial Boards for many International Journals. His area of research includes Biomedical Instrumentation, Remote Monitoring and Control Systems. He has guided more than 10 Master dissertations and 5 PhDs are going on. He has been granted/published 03 Patents and Rs. 36 Lacs from Department of Science and Technology, Government of India for research project on Identification of adulterants in Indian spices.
Dr. Shruti Jain is an Associate Professor in the Department of Electronics and Communication Engineering at Jaypee University of Information Technology, Waknaghat, H.P, India and has received her Doctor of Science (D. Sc.) in Electronics and Communication Engineering. She has a teaching experience of around 16 years. She has filed five patents out of which one patent is granted and four are published. She has published more than 15 book chapters, and 100 research papers in reputed indexed journals and in international conferences. She has also published six books. She has completed two government-sponsored projects. She has guided 06 Ph.D. students and now has 02 registered students. She has also guided 11 M Tech scholars and more than 90 B Tech undergrads. Her research interests are Image and Signal Processing, Soft Computing, Bio-inspired Computing and Computer-Aided Design of FPGA and VLSI circuits. She is a senior member of IEEE, life member and Editor in Chief of Biomedical Engineering Society of India and a member of IAENG. She is a member of the Editorial Board of many reputed journals. She is also a reviewer of many journals and a member of TPC of different conferences. She was awarded by Nation Builder Award in 2018-19.
Dr. Mandeep Singh is currently Professor and Former Head in the Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering & Technology, Patiala. Dr Singh obtained his Ph.D. in Tele-Cardiology, Master of Engineering in Computer Science and Bachelor of Engineering in Electronics (Instrumentation & Control). Dr Singh is a BEE Certified Energy Auditor and an Empaneled Consultant for PAT Scheme. Dr Singh has more than twenty years of teaching experience. His current area of research interest includes Biomedical Instrumentation, Energy Conservation, Alternative Medicine and Cognition Engineering. In addition to his regular responsibilities, he has served Thapar Institute of Engineering & Technology as Faculty Advisor (Electrical) for more than eight years. Dr Singh is currently handling two research projects with DIPAS-DRDO related to fatigue detection and wireless monitoring of ambulatory subjects.
Dr. Vishal Jain is presently working as an Associate Professor at the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P., India. Before that, he worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in the academics. He has earned several degrees: PhD (CSE), MTech (CSE), MBA (HR), MCA, MCP, and CCNA. He has more than 370 research citations with Google Scholar (h-index score 9 and i-10 index 9) and has authored more than 70 research papers in professional journals and conferences. He has authored and edited more than 10 books with various reputed publishers, including Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, and Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.