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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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Podrobná bibliografie
Vydáno v:NPJ Digit Med
Hlavní autoři: Yoo, Tae Keun, Ryu, Ik Hee, Lee, Geunyoung, Kim, Youngnam, Kim, Jin Kuk, Lee, In Sik, Kim, Jung Sub, Rim, Tyler Hyungtaek
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2019
Témata:
On-line přístup: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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