首页|University of Electronic Science and Technology of China Reports Findings in Car diovascular Diseases and Conditions (Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet)
University of Electronic Science and Technology of China Reports Findings in Car diovascular Diseases and Conditions (Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cardiovascular Disease s and Conditions is the subject of a report.According to news reporting origina ting in Sichuan, People’s Republic of China, by NewsRx journalists,research sta ted, “Aiming at early detection and accurate prediction of cardiovascular diseas e (CVD) toreduce mortality rates, this study focuses on the development of an i ntelligent predictive system to identifyindividuals at risk of CVD. The primary objective of the proposed system is to combine deep learning modelswith advanc ed data mining techniques to facilitate informed decision-making and precise CVD prediction.”
SichuanPeople’s Republic of ChinaAsi aCardiologyCardiovascularCardiovascular Diseases and ConditionsCardiovas cular ResearchCyborgsEmerging TechnologiesHealth and MedicineMachine Lea rningRisk and Prevention
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