Publisher Correction: Age and sex affect deep learning prediction of cardiometabolic risk factors from retinal images
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Guardado en:
Autores principales: | Nele Gerrits, Bart Elen, Toon Van Craenendonck, Danai Triantafyllidou, Ioannis N. Petropoulos, Rayaz A. Malik, Patrick De Boever |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7d650f6c34b4414c90d14357a81f8054 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Predicting sex from retinal fundus photographs using automated deep learning
por: Edward Korot, et al.
Publicado: (2021) -
Handgrip and sex-specific cardiometabolic risk factors in Hispanic/Latino migrant farmworkers
por: Anas Raed, et al.
Publicado: (2021) - Journal of the cardiometabolic syndrome
-
Hepatic function and the cardiometabolic syndrome
por: Wiernsperger N
Publicado: (2013) - Hot Topics in Cardiometabolic Disorders