首页|Semmelweis University Reports Findings in Machine Learning (Machine learning-bas ed prediction of 1-year all-cause mortality in patients undergoing CRT implantat ion: validation of the SEMMELWEIS-CRT score in the European CRT Survey I dataset )
Semmelweis University Reports Findings in Machine Learning (Machine learning-bas ed prediction of 1-year all-cause mortality in patients undergoing CRT implantat ion: validation of the SEMMELWEIS-CRT score in the European CRT Survey I dataset )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating in Budapest, Hung ary, by NewsRx journalists, research stated, "We aimed to externally validate th e SEMMELWEIS-CRT score for predicting 1-year all-cause mortality in the European Cardiac Resynchronization Therapy (CRT) Survey I dataset-a large multi-centre c ohort of patients undergoing CRT implantation. The SEMMELWEIS-CRT score is a mac hine learning-based tool trained for predicting all-cause mortality in patients undergoing CRT implantation." Funders for this research include European Union, Ministry of Innovation and Tec hnology of Hungary from the National Research, Development and Innovation Fund, National Research, Development, and Innovation Office of Hungary, New National E xcellence Program, Ministry of Culture and Innovation in Hungary from the Nation al Research.
BudapestHungaryEuropeCardiac Resyn chronization TherapyCyborgsEmerging TechnologiesHealth and MedicineMachi ne LearningMedical DevicesRisk and Prevention
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