JMIR medical informatics
Interpretable Machine Learning-Derived Nomogram Model to Predict Population Health Literacy: Cross-Sectional Development and Validation Study
By Zhang X, Jin H, Xie Z and 10 others.
Abstract
Background
Health literacy (HL) is a major factor associated with population health. However, no visualized predictive model has been developed to identify populations with low HL in a cost-effective manner.
Objective
This study aims to identify key determinants of HL and develop a predictive nomogram model for population-level HL screening.
