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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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Principais autores: Wajeeha Ahmed, Muhammad Inam Farooq
Formato: Artigo
Idioma:Inglês
Publicado em: PATHWAY SCHOLARS INSTITUTE (SMC-PRIVATE) LIMITED 2024-06-01
coleção:Bioscience Insights
Assuntos:
artificial intelligence
machine learning
deep learning
cardiac arrest
Acesso em linha:https://biosciinsights.com/index.php/BI/article/view/1
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