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Personalized prediction of optimal water intake in adult population by blended use of machine learning and clinical data.
Dolci, Alberto; Vanhaecke, Tiphaine; Qiu, Jiqiong; Ceccato, Riccardo; Arboretti, Rosa; Salmaso, Luigi.
Afiliação
  • Dolci A; Health, Hydration and Nutrition Science Department, Danone Research, Route Départementale 128, 91767, Palaiseau, France.
  • Vanhaecke T; Health, Hydration and Nutrition Science Department, Danone Research, Route Départementale 128, 91767, Palaiseau, France. tiphaine.vanhaecke@danone.com.
  • Qiu J; Health, Hydration and Nutrition Science Department, Danone Research, Route Départementale 128, 91767, Palaiseau, France.
  • Ceccato R; Department of Management and Engineering, University of Padova, Vicenza, Italy.
  • Arboretti R; Department of Civil, Environmental and Architectural Engineering, University of Padova, Padua, Italy.
  • Salmaso L; Department of Management and Engineering, University of Padova, Vicenza, Italy.
Sci Rep ; 12(1): 19692, 2022 11 16.
Article em En | MEDLINE | ID: mdl-36385111
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ingestão de Líquidos / Aprendizado de Máquina Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ingestão de Líquidos / Aprendizado de Máquina Tipo de estudo: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article