Prediction of the Fundus Tessellation Severity With Machine Learning Methods

PURPOSE: To predict the fundus tessellation (FT) severity with machine learning methods. METHODS: A population-based cross-sectional study with 3,468 individuals (mean age of 64.6 ± 9.8 years) based on Beijing Eye Study 2011. Participants underwent detailed ophthalmic examinations including fundus i...

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Detalles Bibliográficos
Autores principales: Shao, Lei, Zhang, Xiaomei, Hu, Teng, Chen, Yang, Zhang, Chuan, Dong, Li, Ling, Saiguang, Dong, Zhou, Zhou, Wen Da, Zhang, Rui Heng, Qin, Lei, Wei, Wen Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960643/
https://www.ncbi.nlm.nih.gov/pubmed/35360710
http://dx.doi.org/10.3389/fmed.2022.817114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960643/
https://www.ncbi.nlm.nih.gov/pubmed/35360710
http://dx.doi.org/10.3389/fmed.2022.817114

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