Using Decision Trees to Classify Factors that Predict Health Insurance Status among Sexual Minority Women

Authors

Kayla Simon, University of Arkansas, Fayetteville

Files

Description

Background
• Social determinants of health (SODH) are factors that influence an individual's health status.
• SODH inequalities often negatively impact health status.
• LGBTQ+ individuals are more likely than their heterosexual counterparts to be unemployed and uninsured in early adulthood (Charlton, Gordon, Reisner, 2018).

Purpose
The purpose of this project is to build a machine learning model that predicts insurance status based on social determinants of health selected as input variables

Publication Date

2021

Publisher

College of Education and Health Professions Honors Program

City

Fayetteville

Keywords

Research-Based

Disciplines

Health and Medical Administration | Insurance | Medicine and Health Sciences | Public Health

Comments

Advisors:

Bart Hammig, Ph.D.
Samantha Robinson, Ph.D.
Page Dobbs, Ph.D.

Citation

Simon, K. (2021). Using Decision Trees to Classify Factors that Predict Health Insurance Status among Sexual Minority Women. 2021 Honors Symposium. Retrieved from https://scholarworks.uark.edu/coesym21/17