Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults

BACKGROUND: There is much interest in the use of prognostic and diagnostic prediction models in all areas of clinical medicine. The use of machine learning to improve prognostic and diagnostic accuracy in this area has been increasing at the expense of classic statistical models. Previous studies ha...

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Detalles Bibliográficos
Autores principales: Lynam, Anita L., Dennis, John M., Owen, Katharine R., Oram, Richard A., Jones, Angus G., Shields, Beverley M., Ferrat, Lauric A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318367/
https://www.ncbi.nlm.nih.gov/pubmed/32607451
http://dx.doi.org/10.1186/s41512-020-00075-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318367/
https://www.ncbi.nlm.nih.gov/pubmed/32607451
http://dx.doi.org/10.1186/s41512-020-00075-2

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