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Risk Assessment of CHD Using Retinal Images with Machine Learning Approaches for People with Cardiometabolic Disorders
Background: Coronary heart disease (CHD) is the leading cause of death worldwide, constituting a growing health and social burden. People with cardiometabolic disorders are more likely to develop CHD. Retinal image analysis is a novel and noninvasive method to assess microvascular function. We aim t...
Autores principales: | Qu, Yimin, Lee, Jack Jock-Wai, Zhuo, Yuanyuan, Liu, Shukai, Thomas, Rebecca L., Owens, David R., Zee, Benny Chung-Ying |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143834/ https://www.ncbi.nlm.nih.gov/pubmed/35628812 http://dx.doi.org/10.3390/jcm11102687 |
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