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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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Detalhes bibliográficos
Publicado no:NPJ Digit Med
Main Authors: Yoo, Tae Keun, Ryu, Ik Hee, Lee, Geunyoung, Kim, Youngnam, Kim, Jin Kuk, Lee, In Sik, Kim, Jung Sub, Rim, Tyler Hyungtaek
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6586803/
https://ncbi.nlm.nih.gov/pubmed/31304405
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-019-0135-8
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