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Development of Machine Learning Models for Prediction of Osteoporosis from Clinical Health Examination Data
Osteoporosis is treatable but often overlooked in clinical practice. We aimed to construct prediction models with machine learning algorithms to serve as screening tools for osteoporosis in adults over fifty years old. Additionally, we also compared the performance of newly developed models with tra...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305021/ https://www.ncbi.nlm.nih.gov/pubmed/34300086 http://dx.doi.org/10.3390/ijerph18147635 |