📄 medicine
Prediction Model of Chronic Disease Prevalence in People with Disabilities Using Decision Tree Analysis: A Nationwide Cross-Sectional Study
This nationwide cross-sectional study utilized CHAID decision tree analysis on 2,759 Korean individuals with disabilities to develop a highly accurate prediction model for chronic disease prevalence, identifying outpatient treatment, health status, and employment as key predictive factors to inform tailored healthcare strategies.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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