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Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA).
Engchuan, Worrawat; Dimopoulos, Alexandros C; Tyrovolas, Stefanos; Caballero, Francisco Félix; Sanchez-Niubo, Albert; Arndt, Holger; Ayuso-Mateos, Jose Luis; Haro, Josep Maria; Chatterji, Somnath; Panagiotakos, Demosthenes B.
Afiliación
  • Engchuan W; The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
  • Dimopoulos AC; Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece.
  • Tyrovolas S; Department of Informatics and Telematics, School of Digital Technology, Harokopio University, Athens, Greece.
  • Caballero FF; Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece.
  • Sanchez-Niubo A; Research, Innovation and Teaching Unit, Institut de Recerca Sant Joan de Déu, Carrer Dr. Antoni Pujadas, Barcelona, Spain.
  • Arndt H; Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain.
  • Ayuso-Mateos JL; Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
  • Haro JM; Department of Preventive Medicine and Public Health, and Microbiology, Universidad Autónoma de Madrid, Madrid, Spain.
  • Chatterji S; Instituto de Salud Carlos III, CIBER of Epidemiology and Public Health (CIBERESP), , Madrid, Spain.
  • Panagiotakos DB; Research, Innovation and Teaching Unit, Institut de Recerca Sant Joan de Déu, Carrer Dr. Antoni Pujadas, Barcelona, Spain.
Med Sci Monit ; 25: 1994-2001, 2019 Mar 17.
Article en En | MEDLINE | ID: mdl-30879019
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Envejecimiento / Predicción Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Med Sci Monit Asunto de la revista: MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Canadá
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Envejecimiento / Predicción Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Med Sci Monit Asunto de la revista: MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Canadá