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Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms
BACKGROUND: The risk factors of diabetic retinopathy (DR) were investigated extensively in the past studies, but it remains unknown which risk factors were more associated with the DR than others. If we can detect the DR related risk factors more accurately, we can then exercise early prevention str...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6101083/ https://www.ncbi.nlm.nih.gov/pubmed/30367589 http://dx.doi.org/10.1186/s12859-018-2277-0 |