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Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods
We compared the prediction performance of machine learning-based undiagnosed diabetes prediction models with that of traditional statistics-based prediction models. We used the 2014–2020 Korean National Health and Nutrition Examination Survey (KNHANES) (N = 32,827). The KNHANES 2014–2018 data were u...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421881/ https://www.ncbi.nlm.nih.gov/pubmed/37567907 http://dx.doi.org/10.1038/s41598-023-40170-0 |