Identification and longitudinal evaluation of inhaled medication adherence barriers using clinical natural language processing in asthma: a real-world cohort study
Background To develop a rule-enhanced clinical natural language processing (clinical NLP) framework for the automated identification of inhaled medication adherence barriers in asthma, characterize their longitudinal trajectories, and evaluate their associations with longitudinal medication adherence. Methods This real...