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Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers
Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8.8% of the world was diabetic in 2017. It is projected that this will reach nearly 10% by 2045. The major challenge is that when machine learning-based classifiers are applied to such data sets for ri...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893681/ https://www.ncbi.nlm.nih.gov/pubmed/29637403 http://dx.doi.org/10.1007/s10916-018-0940-7 |