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Dietary intake of micronutrients are predictor of premenstrual syndrome, a machine learning method.
Taheri, Reihane; ZareMehrjardi, Fatemeh; Heidarzadeh-Esfahani, Neda; Hughes, James A; Reid, Ryan E R; Borghei, Mohammad; Ardekani, Fakhrodin Mesbah; Shahraki, Hadi Raeisi.
Afiliação
  • Taheri R; Sepidan Bagherololoom Health Higher Education College, Shiraz University of Medical Sciences, Shiraz, Iran; Metabolic and Cardiovascular Diseases Laboratory, Division of Human Nutrition, University of Alberta, Edmonton, AB T6G2P5, Canada. Electronic address: Niusha_tahery@yahoo.com.
  • ZareMehrjardi F; Department of Computer Science, St. Francis Xavier University, Nova Scotia, Canada.
  • Heidarzadeh-Esfahani N; Sepidan Bagherololoom Health Higher Education College, Shiraz University of Medical Sciences, Shiraz, Iran; Department of Nutritional Sciences, School of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran.
  • Hughes JA; Department of Computer Science, St. Francis Xavier University, Nova Scotia, Canada.
  • Reid RER; Department of Computer Science, St. Francis Xavier University, Nova Scotia, Canada; Department of Human Kinetics, St. Francis Xavier University, Nova Scotia, Canada.
  • Borghei M; Department of Nutritional Sciences, School of Nutritional Sciences and Food Technology, Tabriz University of Medical Sciences, East Arazbaijan, Iran.
  • Ardekani FM; Anatomy Department, Shiraz University of Medical Sciences, Zand Avenue, Shiraz 71348-45794, Iran.
  • Shahraki HR; Department of Epidemiology and Biostatistics, School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Clin Nutr ESPEN ; 55: 136-143, 2023 06.
Article em En | MEDLINE | ID: mdl-37202037
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome Pré-Menstrual / Micronutrientes Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans País como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome Pré-Menstrual / Micronutrientes Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans País como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article