Exploring the Impact of Social Determinants of Health on Mental Well-Being Post-Pandemic Using Random Forests and Decision Trees

Authors

Kathryn M. ConwayFollow

Abstract

With data from the U.S. Census Bureau’s Household Pulse Survey, an investigation into the impact of social determinants of health on the mental well-being is launched on a post-pandemic population. The principles of random forests and decision tree statistical models working alongside machine learning algorithms highlight contributing factors to indicate a need for intervention resource mobilization.

Advisor

Frazier, Marian

Department

Statistical and Data Sciences

Recommended Citation

Conway, Kathryn M., "Exploring the Impact of Social Determinants of Health on Mental Well-Being Post-Pandemic Using Random Forests and Decision Trees" (2024). Senior Independent Study Theses. Paper 10891.
https://openworks.wooster.edu/independentstudy/10891

Publication Date

2024

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis