Development of a Predictive Risk Model for Recurrence of Chronic Pulmonary Aspergillosis in Post-Tuberculosis Patients: A Retrospective Observational Study

In this study, we developed a disease recurrence prediction model using machine learning techniques. This model aims to assist clinicians in identifying the most relevant risk factors associated with the recurrence of tuberculosis complicated by chronic pulmonary aspergillus. It facilitates the formulation of targeted and effective re-examination plans for discharged patients, ultimately reducing the recurrence rate after discharge and enhancing the quality of life for these patients.