Adopting machine learning to automatically identify candidate patients for corneal refractive surgery

Recently, it has become more important to screen candidates that undergo corneal refractive surgery to prevent complications. Until now, there is still no definitive screening method to confront the possibility of a misdiagnosis. We evaluate the possibilities of machine learning as a clinical decisi...

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Detalles Bibliográficos
Autores principales: Yoo, Tae Keun, Ryu, Ik Hee, Lee, Geunyoung, Kim, Youngnam, Kim, Jin Kuk, Lee, In Sik, Kim, Jung Sub, Rim, Tyler Hyungtaek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586803/
https://www.ncbi.nlm.nih.gov/pubmed/31304405
http://dx.doi.org/10.1038/s41746-019-0135-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586803/
https://www.ncbi.nlm.nih.gov/pubmed/31304405
http://dx.doi.org/10.1038/s41746-019-0135-8

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