Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death

Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death

Release Date: June, 2022|Copyright: © 2022 |Pages: 263
DOI: 10.4018/978-1-7998-8443-9
ISBN13: 9781799884439|ISBN10: 1799884430|EISBN13: 9781799884453
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Cardiac Arrest
  • Computer-Assistive Techniques
  • Deep Learning
  • Heart Diseases
  • Machine Learning
  • Mobile Health
  • Smart Technologies
  • Sudden Cardiac Arrest
  • Sudden Cardiac Death
  • Wearable Sensors
Reviews & Statements

Regarding Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death book, my contribution was for the chapter ""State-of-the-art review of AI technologies for SCA and SCD". I did research on SCA and SCD from various books and journals. I talked to various experts in this area who are practitioners in the area of cardiology and medicine. This helped gather details about the symptoms and vitals which affect the disease. AI technology helps in identifying the correlation and makes the system learn based on the training and testing data.

– Prof. Bhagvan Kommadi, Value Momentum, India
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Editor/Author Biographies

Pradeep Nijalingappa is working as Associate Professor in Computer Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India affiliated Visvesvaraya Technological University, Belagavi, Karnataka, India. He is having 18 years of academic experience, which includes teaching and research experience. He has worked at various verticals starting from Lecturer to Associate Professor. His research areas of interest include Machine Learning, Pattern Recognition, Medical Image Analysis, Knowledge Discovery Techniques, and Data Analytics. He is presently guiding TWO research scholars on Knowledge Discovery and Medical Image Analysis. He has successfully edited a book published by IGI Publishers, USA. Two edited books to be published by Elsevier and Scrivener Publishing, Wiley are in progress. He has published more than 20 research articles published in refereed journals and also one Indian Patent application is published and one Australian Patent is granted. He is a reviewer of various International Conferences and few journals. He is a Professional member in ACM, ISTE and IEI. Also, he is a Technical Committee Member for Davangere Smart City, Davangere.

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.

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