Cargando…
Rule extraction from biased random forest and fuzzy support vector machine for early diagnosis of diabetes
Due to concealed initial symptoms, many diabetic patients are not diagnosed in time, which delays treatment. Machine learning methods have been applied to increase the diagnosis rate, but most of them are black boxes lacking interpretability. Rule extraction is usually used to turn on the black box....
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198101/ https://www.ncbi.nlm.nih.gov/pubmed/35701587 http://dx.doi.org/10.1038/s41598-022-14143-8 |