首页|Sun Yat-sen University Reports Findings in Machine Learning (Machine-learning-ba sed models to predict cardiovascular risk using oculomics and clinic variables I n KNHANES)
Sun Yat-sen University Reports Findings in Machine Learning (Machine-learning-ba sed models to predict cardiovascular risk using oculomics and clinic variables I n KNHANES)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Shenzhen, People’s Repub lic of China, by NewsRx journalists, research stated, “Recentresearches have fo und a strong correlation between the triglyceride-glucose (TyG) index or the ath erogenicindex of plasma (AIP) and cardiovascular disease (CVD) risk. However, t here is a lack of research onnon-invasive and rapid prediction of cardiovascula r risk.”
ShenzhenPeople’s Republic of ChinaAs iaCardiologyCardiovascularCardiovascular ResearchCyborgsEmerging Techn ologiesGender HealthGender and HealthHealth and MedicineMachine LearningWomen’s Health
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