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HARNESSING ARTIFICIAL INTELLIGENCE FOR PREDICTING AND MANAGING CARDIAC ARREST RISK: INNOVATIONS IN EARLY DETECTION, PREVENTION, AND PERSONALIZED CARE

The sudden breakdown of heart activity has the potential to become fatal. The prediction of cardiac arrest at an early stage enables proper intervention to stop such occurrences or protect patients from experiencing an arrest. Artificial intelligence (AI) and big data technologies have gained popula...

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Hoofdauteurs: Wajeeha Ahmed, Muhammad Inam Farooq
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: PATHWAY SCHOLARS INSTITUTE (SMC-PRIVATE) LIMITED 2024-06-01
Reeks:Bioscience Insights
Onderwerpen:
artificial intelligence
machine learning
deep learning
cardiac arrest
Online toegang:https://biosciinsights.com/index.php/BI/article/view/1
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