Sun Yat-Sen University Reports Findings in Atrial Fibrillation (A machine learni ng-based predictive model for the in-hospital mortality of critically ill patien ts with atrial fibrillation)

Robotics & Machine Learning Daily News2024，Issue(Aug.20) ：71-71.

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Sun Yat-Sen University Reports Findings in Atrial Fibrillation (A machine learni ng-based predictive model for the in-hospital mortality of critically ill patien ts with atrial fibrillation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Atrial Fibrillation is the subjectof a report. According to news origi nating from Guangzhou, People’s Republic of China, by NewsRxcorrespondents, res earch stated, “Atrial fibrillation (AF) is common among intensive care unit (ICU )patients and significantly raises the in-hospital mortality rate. Existing sco ring systems or models havelimited predictive capabilities for AF patients in I CU.”

Key words

Guangzhou/People’s Republic of China/A sia/Atrial Fibrillation/Cardiac Arrhythmias/Cyborgs/Emerging Technologies/H ealth and Medicine/Heart Disease/Heart Disorders and Diseases/Hospitals/Mach ine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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