Nationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models

This study leverages nationwide longitudinal EHR data from the All of Us Research Program to predict chronic rhinosinusitis (CRS) diagnosis using two years of pre-diagnostic history. It implements a hybrid feature-selection pipeline to address data sparsity and dimensionality, aiming to overcome limitations of single-institutional cohorts and improve population-level generalizability.