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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Wan-Ju, Wu, Li, Mei, Zhong-Ming, Xiang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
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

Internet

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