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...

Descripción completa

Detalles Bibliográficos
Autores principales: Choi, Seong Gyu, Oh, Minsuk, Park, Dong–Hyuk, Lee, Byeongchan, Lee, Yong-ho, Jee, Sun Ha, Jeon, Justin Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

Ejemplares similares