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...

Descripción completa

Detalles Bibliográficos
Autores principales: Qu, Yimin, Lee, Jack Jock-Wai, Zhuo, Yuanyuan, Liu, Shukai, Thomas, Rebecca L., Owens, David R., Zee, Benny Chung-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143834/
https://www.ncbi.nlm.nih.gov/pubmed/35628812
http://dx.doi.org/10.3390/jcm11102687

Ejemplares similares