Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA)-Reference-Cited by-同舟云学术

Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA)

Published:2019-03-17 Issue: Volume:25 Page:1994-2001
ISSN:1643-3750
Container-title:Medical Science Monitor
language:en
Short-container-title:Med Sci Monit

Author:

Engchuan Worrawat¹,Dimopoulos Alexandros C.²,Tyrovolas Stefanos²,Caballero Francisco Félix³,Sanchez-Niubo Albert⁴,Arndt Holger⁵,Ayuso-Mateos Jose Luis⁶,Haro Josep Maria⁴,Chatterji Somnath⁷,Panagiotakos Demosthenes B.²

Affiliation:

1. The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada

2. Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece

3. Department of Preventive Medicine and Public Health, and Microbiology, Universidad Autónoma de Madrid, Madrid, Spain

4. Research, Innovation and Teaching Unit, Institut de Recerca Sant Joan de Déu, Carrer Dr. Antoni Pujadas, Barcelona, Spain

5. Spring Techno Gmbh and Co. KG, Bremen, Germany

6. Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain

7. Health Metrics and Measurement, World Health Organization, Geneva, Switzerland

Publisher

International Scientific Information, Inc.

Subject

General Medicine

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