Europe PMC
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Optimizing Tuberculosis Incidence Prediction: A Systematic Review of Hybrid Modeling Approaches and Machine Learning Techniques
Background Tuberculosis (TB) remains a significant global health problem, particularly in low- and middle-income countries (LMICs), where accurate prediction of TB incidence is crucial for effective public health interventions. Objective This review assessed and compared statistical,
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