About the Book
Machine learning approaches have great potential in increasing the accuracy of cardiovascular risk prediction and avoiding unnecessary treatment. The application of machine learning techniques may improve heart failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Additionally, artificial intelligence technologies can assist physicians in making better clinical decisions, enabling early detection of subclinical organ dysfunction, and improving the quality and efficiency of healthcare delivery. Further study on these innovative technologies is required in order to appropriately utilize the technology in healthcare. Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death provides insight into the causes and symptoms of sudden cardiac death and sudden cardiac arrest while evaluating whether artificial intelligence technologies can improve the accuracy of cardiovascular risk prediction. Furthermore, it consolidates the current open issues and future technology-driven solutions for sudden cardiac death and sudden cardiac arrest prevention and detection. Covering a number of crucial topics such as wearable sensors and smart technologies, this reference work is ideal for diagnosticians, IT specialists, data scientists, healthcare workers, researchers, academicians, scholars, practitioners, instructors, and students.
About the Author :
Pradeep Nijalingpappa is working as Dean Academics and Professor and Head of Computer Science and Engineering (Data Science), Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India, affiliated with Visvesvaraya Technological University, Belagavi, Karnataka, India. He has 21 years of academic experience, which includes teaching and research experience. He has worked at various verticals, starting from Lecturer to Professor. His research areas of interest include Machine Learning, Pattern Recognition, Medical Image Analysis, and Knowledge Discovery Techniques. He is presently guiding FIVE research scholars on Knowledge Discovery and Medical Image Analysis. Also, he is co-guide for postdoc students registered in Singapore Institute of Technology, Singapore, and University of South Florida. He has successfully edited 10 books and they are published by various internationally reputed publishers, which include IGI Publishers, USA, Springer, Elsevier, Nova, CRC, and De Gruyter. His 30 research articles has been published in refereed indexed journals and also authored 13 book chapters. He is a promising and prominent reviewer for various International Conferences and journals. His Indian Patent application is published, German Patent and Australian Patent are granted. He is one of the copyright authors/owners for 13 copyright proposals which are granted copyright by the Copyright office, Government of India. He has completed a short-term Post-Ph.D. Pilot Research Project at Thu Dau Mot University, Thu Dau Mot City, Binh Duong Province, Vietnam in 2021. He received Academic Recognition as Hon. D.Eng. (Honoris Causa) in June 2021 from Iranian Neuroscience Society-FARS Chapter (SM-FINSS) and Dana Brain Health Institute, Shiraz, Iran. He has been appointed as Senior Member, Iranian Neuroscience Society-FARS Chapter (SM-FINSS) for a duration of TWO years (March 1st, 2021 to March 2nd, 2023). He is also one of jury members to evaluate proposals submitted for QS Reimagine Education Awards, 2023. He has been elevated to Senior Member in IEEE and has professional membership in IEEE, ACM, IEI, MISTE, and IAENG. Also, he is a Technical Committee Member for Davangere Smart City Limited, Davangere for evaluating ICT projects and Three committee member in Innovation Committee for City Innovations Exchange Program, Davangere Smart City Limited, Davangere under Smart Cities Mission. Sandeep Kautish is working as Professor & Dean-Academics with LBEF Campus, Kathmandu Nepal running in academic collaboration with Asia Pacific University of Technology & Innovation Malaysia. He is an academician by choice and backed with 17+ Years of work experience in academics including over 06 years in academic administration in various institutions of India and abroad. He has meritorious academic records throughout his academic career. He earned his bachelors, masters and doctorate degree in Computer Science on Intelligent Systems in Social Networks. He holds PG Diploma in Management also. His areas of research interest are Business Analytics, Machine Learning, Data Mining, and Information Systems. He has 40+ publications in his account and his research works has been published in reputed journals with high impact factor and SCI/SCIE/Scopus/WoS indexing. His research papers can be found at Computer Standards & Interfaces (SCI, Elsevier), Journal of Ambient Intelligence and Humanized Computing (SCIE, Springer). Also, he has authored/edited more than 07 books with reputed publishers i.e. Springer, Elsevier, Scrivener Wiley, De Gruyter, and IGI Global. He has been invited as Keynote Speaker at VIT Vellore (QS ranking with 801-1000) in 2019 for an International Virtual Conference. He filed one patent in the field of Solar Energy equipment using Artificial Intelligence in 2019. He is an editorial member/reviewer of various reputed SCI/SCIE journals i.e. Computer Communications (Elsevier), ACM Transactions on Internet Technology, Cluster Computing (Springer), Neural Computing and Applications (Springer), Journal of Intelligent Manufacturing (Springer), Multimedia Tools & Applications (Springer), Computational Intelligence (Wiley), Australasian Journal of Information Systems (AJIS, International Journal of Decision Support System Technology (IGI Global USA), International Journal of Image Mining (Inderscience). He has supervised one PhD in Computer Science as a co-supervisor at Bharathiar University Coimbatore. Presently two doctoral scholars are pursuing their PhD under his supervision in different application areas of Machine Learning. He is a recognized academician as Session Chair/PhD thesis examiner at various international universities of reputes i.e. University of Kufa, University of Babylon, Polytechnic University of the Philippines (PUP), University of Madras, Anna University Chennai, Savitribai Phule Pune University, M.S. University, Tirunelveli, and various other Technical Universities. (Google Scholar - www.sandeepkautish.com.) Mangesh M. Ghonge is currently working at Sandip Institute of Technology and Research Center, Nashik, Maharashtra, India. He received his Ph.D. in Computer Science & Engineering from Sant Gadge Baba Amravati University, Amravati, India and an M.Tech degree in Computer Science & Engineering from Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, India. He authored/co-authored more than 60 published articles in prestigious journals, book chapters, and conference papers. Besides, Dr. Mangesh Ghonge authored/edited 10 international books published by recognized publishers such as Springer, IGI Global, CRC Press Taylor & Francis, Wiley-Scrivener, Nova. He has been invited as a resource person for many workshops/FDP. He has organized and chaired many national/international conferences and conducted various workshops. He received a grant from the Ministry of Electronics and Information Technology (MeitY) and DST. He is editor-in-chief of International Journal of Research in Advent Technology (IJRAT), E-ISSN 2321-9637. He is also guest editor for SCIE indexed journal special issue. He worked as a reviewer for Scopus/SCIE Indexed journals. Renjith V. Ravi is presently employed as Associate Professor in the department of electronics and communication engineering of M.E.A Engineering college, Malappuram, Kerala, India. He has published 10 articles in various international journals and conferences and having an experience of around 10 years of in Teaching and Research. He has completed his Ph.D in Electronics and Communication Engineering in 2019, M.E. in Embedded System Technology in 2011 and B.Tech in Electronics and Communication Engineering in 2007. He is the reviewer of various reputed international journals from Elsevier, Springer, Inderscience, IGI Global, etc.
