Smart Computational Intelligence in Biomedical and Health Informatics

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.

• Chapter 1 Impact of Gender on the Lipid Profile of Patients with CoronaryArtery Disease: A Bayesian Analytical ApproachVivek Verma, Ashwani Kumar Mishra, Anita Verma,Hafiz T. A. Khan, Dilip C. Nath, and Rajiv NarangChapter 2 Implementation of Wearable ECG Monitor Interfaced withReal-Time Location TrackerAditya Anand Doshi, Utkarsh Nitin Kasar,and Suchitra KhojeChapter 3 AI and Deep Learning for Biomedical Image AnalysisR. Priyatharshini and R. Reena RoyChapter 4 Deep Learning: A Review on Supervised Architecturesand their Applications to Decision Support Systems in theMedical FieldTajinder Pal Singh, Sheifali Gupta, Meenu Garg,and Deepali GuptaChapter 5 Automated View Orientation Classification for X-ray ImagesUsing Deep Neural NetworksK. Karthik and Kamath S. SowmyaChapter 6 Sustainable e-Health Solutions for Routine and EmergencyTreatment: Scope of Informatics and Telemedicine in IndiaArindam Chakrabarty, Uday Sankar Das,and Saket KushwahaChapter 7 Predicting Medical Procedures from Diagnostic SequencesUsing Neural Machine TranslationSiddhanth Pillay and Sowmya Kamath SChapter 8 Sensing the Mood-Application of Machine Learningin Human Psychology Analysis and Cognitive ScienceAhona Ghosh and Sriparna SahaChapter 9 Speech Emotion Recognition using Manta Ray ForagingOptimization Based Feature SelectionSoham Chattopadhyay, Arijit Dey, Hritam Basak,and Sriparna SahaChapter 10 Internet of Things in Healthcare InformaticsA. Vijayalakshmi and A. HridyaChapter 11 Deep Learning for the Prediction and Detection ofAlzheimer’s Disease (AD): An Overview and Future TrendsPavanalaxmi, RoopashreeChapter 12 A Text Analytics-based E-Healthcare Decision SupportModel Using Machine Learning TechniquesA. Sheik Abdullah, R. Parkavi, P. Karthikeyan,and S. Selvakumar