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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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| Vydáno v: | Sci Rep |
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| Hlavní autoři: | , , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group UK
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7595218/ https://ncbi.nlm.nih.gov/pubmed/33116208 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-75451-5 |
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