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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...
Zapisane w:
| Wydane w: | Diagn Progn Res |
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| Główni autorzy: | , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
BioMed Central
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7318367/ https://ncbi.nlm.nih.gov/pubmed/32607451 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s41512-020-00075-2 |
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