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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Egile Nagusiak:	Wajeeha Ahmed, Muhammad Inam Farooq
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	PATHWAY SCHOLARS INSTITUTE (SMC-PRIVATE) LIMITED 2024-06-01
Saila:	Bioscience Insights
Gaiak:	artificial intelligence machine learning deep learning cardiac arrest
Sarrera elektronikoa:	https://biosciinsights.com/index.php/BI/article/view/1
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!