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Personalized prediction of optimal water intake in adult population by blended use of machine learning and clinical data
Growing evidence suggests that sustained concentrated urine contributes to chronic metabolic and kidney diseases. Recent results indicate that a daily urinary concentration of 500 mOsm/kg reflects optimal hydration. This study aims at providing personalized advice for daily water intake considering...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669042/ https://www.ncbi.nlm.nih.gov/pubmed/36385111 http://dx.doi.org/10.1038/s41598-022-21869-y |