首页|University of Rennes Reports Findings in Heart Failure (Characterizationof card iac resynchronization therapy response through machine learning and personalized models)
University of Rennes Reports Findings in Heart Failure (Characterizationof card iac resynchronization therapy response through machine learning and personalized models)
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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.”
RennesFranceEuropeCardiologyCybo rgsEmerging TechnologiesHealth and MedicineHeart Disorders and DiseasesH eart FailureMachine LearningTherapy
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