Prediction of anemia using facial images and deep learning technology in the emergency department

BACKGROUND: According to the WHO, anemia is a highly prevalent disease, especially for patients in the emergency department. The pathophysiological mechanism by which anemia can affect facial characteristics, such as membrane pallor, has been proven to detect anemia with the help of deep learning te...

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Detalles Bibliográficos
Autores principales: Zhang, Aixian, Lou, Jingjiao, Pan, Zijie, Luo, Jiaqi, Zhang, Xiaomeng, Zhang, Han, Li, Jianpeng, Wang, Lili, Cui, Xiang, Ji, Bing, Chen, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682145/
https://www.ncbi.nlm.nih.gov/pubmed/36438300
http://dx.doi.org/10.3389/fpubh.2022.964385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682145/
https://www.ncbi.nlm.nih.gov/pubmed/36438300
http://dx.doi.org/10.3389/fpubh.2022.964385

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