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...

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Detalles Bibliográficos
Autores principales: Tsao, Hsin-Yi, Chan, Pei-Ying, Su, Emily Chia-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
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

Internet

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

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