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Comparison of Predictive Models for the Early Diagnosis of Diabetes
OBJECTIVES: This study develops neural network models to improve the prediction of diabetes using clinical and lifestyle characteristics. Prediction models were developed using a combination of approaches and concepts. METHODS: We used memetic algorithms to update weights and to improve prediction a...
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| Publicado no: | Healthc Inform Res |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Korean Society of Medical Informatics
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4871851/ https://ncbi.nlm.nih.gov/pubmed/27200219 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4258/hir.2016.22.2.95 |
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