Multivariable Logistic Regression And Back Propagation Artificial Neural Network To Predict Diabetic Retinopathy
Litong Yao,1,* Yifan Zhong,2,* Jingyang Wu,2 Guisen Zhang,3 Lei Chen,2 Peng Guan,4 Desheng Huang,4,5 Lei Liu2,6 1Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, People’s Republic of China; 2Department of Ophthalmology, The First Aff...
Guardado en:
Autores principales: | Yao L, Zhong Y, Wu J, Zhang G, Chen L, Guan P, Huang D, Liu L |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Dove Medical Press
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a694fd813e4946b3911763a7cd2d5f15 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Using Metabolic and Biochemical Indicators to Predict Diabetic Retinopathy by Back-Propagation Artificial Neural Network
por: Su B
Publicado: (2021) -
Association between lipid accumulation product and diabetic retinopathy based on a community-based survey in Chinese with type 2 diabetes
por: Wu J, et al.
Publicado: (2019) -
Attitudes and Awareness Towards Diabetic Retinopathy Among Patients with Diabetes in Amman, Jordan
por: Al-latayfeh M, et al.
Publicado: (2021) -
Awareness of diabetic retinopathy among patients with type 2 diabetes mellitus in Jordan
por: Bakkar MM, et al.
Publicado: (2017) -
Serum CA125 Level Is Associated with Diabetic Retinopathy in Chinese Patients with Type 2 Diabetes
por: Yao L, et al.
Publicado: (2020)