Deep phenotype unsupervised machine learning revealed the significance of pachychoroid features in etiology and visual prognosis of age-related macular degeneration

Unsupervised machine learning has received increased attention in clinical research because it allows researchers to identify novel and objective viewpoints for diseases with complex clinical characteristics. In this study, we applied a deep phenotyping method to classify Japanese patients with age-...

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Detalles Bibliográficos
Autores principales: Hosoda, Yoshikatsu, Miyake, Masahiro, Yamashiro, Kenji, Ooto, Sotaro, Takahashi, Ayako, Oishi, Akio, Miyata, Manabu, Uji, Akihito, Muraoka, Yuki, Tsujikawa, Akitaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595218/
https://www.ncbi.nlm.nih.gov/pubmed/33116208
http://dx.doi.org/10.1038/s41598-020-75451-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595218/
https://www.ncbi.nlm.nih.gov/pubmed/33116208
http://dx.doi.org/10.1038/s41598-020-75451-5

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