Comparison of Use of Health Care Services and Spending for Unauthorized Immigrants vs Authorized Immigrants or US Citizens Using a Machine Learning Model.

ABSTRACT:

Importance

Knowledge about use of health care services (health care utilization) and expenditures among unauthorized immigrant populations is uncertain because of limitations in ascertaining legal status in population data.

Objective

To examine health care utilization and expenditures that are attributable to unauthorized and authorized immigrants vs US-born individuals.

Design, setting, and participants

This cross-sectional study used the data on documentation status from the Los Angeles Family and Neighborhood Survey (LAFANS) to develop a random forest classifier machine learning model. K-fold cross-validation was used to test model performance. The LAFANS is a randomized, multilevel, in-person survey of households residing in Los Angeles County, California, consist

SUBMITTER: Wilson FA 

PROVIDER: S-EPMC7733155 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature