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Building Machine Learning Models to Correct Self-Reported Anthropometric Measures
Ruopeng An
, Mengmeng Ji
Social Work
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Keyphrases
Anthropometric Measurements
100%
Obesity Prevalence
100%
Objectively Measured
100%
Machine Learning Models
100%
Body Mass Index
50%
US Adults
50%
Anthropometric Data
50%
Obesity Risk
25%
National Health Interview Survey
25%
NHANES
25%
Individual-level Data
25%
Recall Bias
25%
Root Mean Square Error
25%
Self-reported Weight
25%
Model Performance
25%
Sample Average
25%
Population Health Survey
25%
Self-reported Height
25%
Monitoring Populations
25%
Recall Error
25%
Psychology
Learning Model
100%
Body Mass Index
66%
Earth and Planetary Sciences
Machine Learning
100%
Root-Mean-Square Error
33%
Health Survey
33%
Food Science
National Health and Nutrition Examination Survey
100%
Economics, Econometrics and Finance
Machine Learning
100%
Engineering
Anthropometric Data
66%