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The Prediction of Body Mass Index from Negative Affectivity through Machine Learning: A Confirmatory Study
2021
Sensors
This study investigates on the relationship between affect-related psychological variables and Body Mass Index (BMI). We have utilized a novel method based on machine learning (ML) algorithms that forecast unobserved BMI values based on psychological variables, like depression, as predictors. We have employed various machine learning algorithms, including gradient boosting and random forest, with psychological variables relative to 221 subjects to predict both the BMI values and the BMI status
doi:10.3390/s21072361
pmid:33805257
pmcid:PMC8037317
fatcat:gvlpqhlxobcjrpgodrilmoirce