Leveraging Ai Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death - Couverture rigide

 
9781799884439: Leveraging Ai Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death
Couverture rigide
ISBN 10 : 1799884430 ISBN 13 : 9781799884439
Editeur : Business Science Reference, 2022

Synopsis

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.

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À propos de l?auteur

Pradeep Nijalingappa, Bapuji Institute of Engineering and Technology, India

Sandeep Kautish, Lord Buddha Education Foundation, Nepal & Asia Pacific University of Technology & Innovation, Malaysia

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Business Science Reference
Date d'édition
2022
Langue
anglais
ISBN 10 
1799884430
ISBN 13 
9781799884439
Reliure
Relié
Nombre de pages
310
Éditeur
Nijalingappa Pradeep, Kautish Sandeep
Coordonnées du fabricant
non disponible
Personne responsable
non disponible