Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data

The objective of this retrospective study was to predict short-term efficacy of anti-vascular endothelial growth factor (VEGF) treatment in diabetic macular edema (DME) using machine learning regression models. Real-world data from 279 DME patients who received anti-VEGF treatment at Ineye Hospital...

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Detalles Bibliográficos
Autores principales: Shi, Ruijie, Leng, Xiangjie, Wu, Yanxia, Zhu, Shiyin, Cai, Xingcan, Lu, Xuejing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618454/
https://www.ncbi.nlm.nih.gov/pubmed/37907703
http://dx.doi.org/10.1038/s41598-023-46021-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618454/
https://www.ncbi.nlm.nih.gov/pubmed/37907703
http://dx.doi.org/10.1038/s41598-023-46021-2

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