Innovative modelling for predicting TB treatment outcomes in global cohorts
Date:
04/01/2022
Lead Investigators:
Summary
This project aims to apply modern machine learning techniques to develop and validate models that predict adverse treatment outcomes for tuberculosis. Baseline and longitudinal data from multiple cohorts in India and Brazil will be used. Models will differentiate between adverse outcomes of treatment failure, recurrence, loss to follow up, and death