Cargando…
The Application of Artificial Neural Networks and Logistic Regression in the Evaluation of Risk for Dry Eye after Vitrectomy
Supervised machine-learning (ML) models were employed to predict the occurrence of dry eye disease (DED) after vitrectomy in this study. The clinical data of 217 patients receiving vitrectomy from April 2017 to July 2018 were used as training dataset; the clinical data of 33 patients receiving vitre...
Autores principales: | Yang, Wan-Ju, Wu, Li, Mei, Zhong-Ming, Xiang, Yi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191413/ https://www.ncbi.nlm.nih.gov/pubmed/32377409 http://dx.doi.org/10.1155/2020/1024926 |
Ejemplares similares
-
Multivariable Logistic Regression And Back Propagation Artificial Neural Network To Predict Diabetic Retinopathy
por: Yao, Litong, et al.
Publicado: (2019) -
Artificial neural network, genetic algorithm, and logistic regression applications for predicting renal colic in emergency settings
por: Eken, Cenker, et al.
Publicado: (2009) -
Predicting happiness levels of European immigrants and natives: An application of Artificial Neural Network and Ordinal Logistic Regression
por: Chen, Shaoming, et al.
Publicado: (2022) -
Transmission Risks of Schistosomiasis Japonica: Extraction from Back-propagation Artificial Neural Network and Logistic Regression Model
por: Xu, Jun-Fang, et al.
Publicado: (2013) -
Predicting technique survival in peritoneal dialysis patients: comparing artificial neural networks and logistic regression
por: Tangri, Navdeep, et al.
Publicado: (2008)