Robotics & Machine Learning Daily News2024,Issue(Aug.26) :76-77.

University of Rennes Reports Findings in Heart Failure (Characterizationof card iac resynchronization therapy response through machine learning and personalized models)

Robotics & Machine Learning Daily News2024,Issue(Aug.26) :76-77.

University of Rennes Reports Findings in Heart Failure (Characterizationof card iac resynchronization therapy response through machine learning and personalized models)

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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 - Heart Failure is the subject of areport. According to news reporting f rom Rennes, France, by NewsRx journalists, research stated, “Thecharacterizatio n and selection of heart failure (HF) patients for cardiac resynchronization the rapy (CRT)remain challenging, with around 30% non-responder rate despite following current guidelines. This studyaims to propose a novel hybrid approach, integrating machine-learning and personalized models, to identifyexpl ainable phenogroups of HF patients and predict their CRT response.”

Key words

Rennes/France/Europe/Cardiology/Cybo rgs/Emerging Technologies/Health and Medicine/Heart Disorders and Diseases/H eart Failure/Machine Learning/Therapy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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