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Exploration of Machine Learning for Hyperuricemia Prediction Models Based on Basic Health Checkup Tests
Background: Machine learning (ML) is a promising methodology for classification and prediction applications in healthcare. However, this method has not been practically established for clinical data. Hyperuricemia is a biomarker of various chronic diseases. We aimed to predict uric acid status from...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406925/ https://www.ncbi.nlm.nih.gov/pubmed/30717373 http://dx.doi.org/10.3390/jcm8020172 |