Tables index

From

Using Statistical Machine Learning to Find Complex Interactions and Important CVD Risk Factors When Predicting General Health in Adults

Peter D. Hart

American Journal of Public Health Research. 2025, 13(3), 90-102 doi:10.12691/ajphr-13-3-1
  • Table 1. Sample characteristics by general health (GH) status, NHANES 2017-2018
  • Table S1. (Supplement). Sample characteristics by general health (GH) status, NHANES 2015-2016
  • Table 2. Cardiovascular disease (CVD) variables and covariates by general health (GH) status, NHANES 2017-2018
  • Table 3. Correlations between general health (GH) and study variables, NHANES 2017-2018
  • Table 4. Decision tree leaf paths predicting general health (GH) with cardiovascular disease (CVD) risk factor variables, NHANES 2017-2018
  • Table 5. Decision tree leaf/node differences using linear regression with training and test datasets
  • Table 6. Performance statistics for decision tree and random forest models predicting general health (GH)
  • Table 7. Variable rankings for decision tree and random forest models predicting general health (GH), NHANES 2017-2018
  • Table S2. (Supplement). Cardiovascular disease (CVD) variables and covariates by general health (GH) status, NHANES 2015-2016
  • Table S3. (Supplement). Correlations between general health (GH) and study variables, NHANES 2015-2016