Calibrated Risk Prediction for Loss to Follow-Up in Drug-Susceptible Tuberculosis: A Decision-Analytic Machine-Learning Framework Developed on a Parameter-Anchored Synthetic Cohort
Loss to follow-up is the principal leak in Indonesia’s tuberculosis care cascade, yet adherence support is rationed by staffing rather than by need. We developed a risk model for loss to follow-up in drug-susceptible pulmonary tuberculosis on a synthetic cohort of 20,000 patients whose parameters were anchored to publi...