Mapping Machine Learning and Scoring Systems Landscape for Predicting Drug-Resistant Tuberculosis Outcomes: A Bibliometric Analysis

This study presents a bibliometric analysis mapping the development and research trends of machine learning models and clinical scoring systems used to predict outcomes in drug-resistant tuberculosis. The analysis will explore publication patterns, key contributors, and emerging themes to identify knowledge gaps and future research directions.