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Osteoporosis Feature Selection and Risk Prediction Model by Machine Learning Using a Cross-Sectional Database
BACKGROUND: The purpose of this study was to verify the accuracy and validity of using machine learning (ML) to select risk factors, to discriminate differences in feature selection by ML between men and women, and to develop predictive models for patients with osteoporosis in a big database. METHOD...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Korean Society for Bone and Mineral Research
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509024/ https://www.ncbi.nlm.nih.gov/pubmed/37718904 http://dx.doi.org/10.11005/jbm.2023.30.3.263 |