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Dynamic Prediction Of Treatment Outcomes For Recurrent Tuberculosis Patients, Nicole Hayes
Dynamic Prediction Of Treatment Outcomes For Recurrent Tuberculosis Patients, Nicole Hayes
Industrial Engineering Undergraduate Honors Theses
Tuberculosis (TB) is a disease that affects people around the world, especially people in underdeveloped countries. TB is one of the top ten causes of death globally so improvement in understanding diagnosis and treatment of TB affected patients could lead to major improvements in world health. This thesis research evaluated relapse patients specifically, deeming a relapse patient as one who has either been cured or completed their last treatment and then is diagnosed with TB again.
This research uses dynamic predictive modeling, based upon the random forest algorithm, to predict treatment outcomes for recurrent TB patients using demographic and follow-up …