Predicting One-Year Psychiatric Rehospitalization Using Natural Language Processing and Machine Learning Methods Based on Clinical Texts

Background/Objectives: Psychiatric readmissions are an important indicator for assessing disease progression and the effectiveness of healthcare services. The aim of this study was to explore factors associated with one-year readmission and to evaluate the performance of machine learning models using clinical information extracted from discharge summaries of patients receiving inpatient treatment in a psychiatric ward.