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Machine Learning For Tuning, Selection, And Ensemble Of Multiple Risk Scores For Predicting Type 2 Diabetes
BACKGROUND: This study proposes the use of machine learning algorithms to improve the accuracy of type 2 diabetes predictions using non-invasive risk score systems. METHODS: We evaluated and compared the prediction accuracies of existing non-invasive risk score systems using the data from the REACTI...
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| Publicado no: | Risk Manag Healthc Policy |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Dove
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6842709/ https://ncbi.nlm.nih.gov/pubmed/31807099 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/RMHP.S225762 |
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