Predicting women's height from their socioeconomic status: A machine learning approach-Reference-Cited by-同舟云学术

Predicting women's height from their socioeconomic status: A machine learning approach

Published:2019-10 Issue: Volume:238 Page:112486
ISSN:0277-9536
Container-title:Social Science & Medicine
language:en
Short-container-title:Social Science & Medicine

Author:

Daoud Adel^ORCID,Kim Rockli^ORCID,Subramanian S.V.^ORCID

Publisher

Elsevier BV

Subject

History and Philosophy of Science,Health(social science)

Reference45 articles.

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4. The impact of rising food prices on obesity in women: a longitudinal analysis of 31 low-income and middle-income countries from 2000 to 2014;Conklin;Int. J. Obes.,2018

5. Demographic and health surveys: a profile;Corsi;Int. J. Epidemiol.,2012

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