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

Pradeep Nijalingappa (Bapuji Institute of Engineering and Technology, Davangere, India), Sandeep Kautish (Lord Buddha Education Foundation, Nepal), Mangesh M. Ghonge (Sandip Institute of Technology and Research Centre, India) and Renjith V. Ravi (MEA Engineering College, India)
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
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