Use of a Machine Learning Method in Predicting Refraction after Cataract Surgery

The present study aims to describe the use of machine learning (ML) in predicting the occurrence of postoperative refraction after cataract surgery and compares the accuracy of this method to conventional intraocular lens (IOL) power calculation formulas. In total, 3331 eyes from 2010 patients were...

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Detalles Bibliográficos
Autores principales: Yamauchi, Tomofusa, Tabuchi, Hitoshi, Takase, Kosuke, Masumoto, Hiroki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961666/
https://www.ncbi.nlm.nih.gov/pubmed/33800825
http://dx.doi.org/10.3390/jcm10051103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961666/
https://www.ncbi.nlm.nih.gov/pubmed/33800825
http://dx.doi.org/10.3390/jcm10051103

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