Risk assessment of chd using retinal images with machine learning approaches for people with cardiometabolic disorders

HIGHLIGHTS

• who: Yimin Qu and collaborators from the Division of Biostatistics, The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, Clinical Trials and Biostatistics Lab, CUHK Shenzhen Research Institute, Shenzhen, China have published the research: Risk Assessment of CHD Using Retinal Images with Machine Learning Approaches for People with Cardiometabolic Disorders, in the Journal: (JOURNAL)
• what: The authors aim to investigate whether retinal images can be used for CHD risk estimation for people with cardiometabolic disorders. For the future direction of the study, the authors aim to explore the ability of automatically . . .
  

   

  

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