Exploring Determinants and Predictive Models of Latent Tuberculosis Infection Outcomes in Rural Areas of the Eastern Cape: A Pilot Comparative Analysis of Logistic Regression and Machine Learning Approaches

Latent tuberculosis infection (LTBI) poses a significant public health challenge, especially in populations with high HIV prevalence and limited healthcare access. Early detection and targeted interventions are essential to prevent the progression of active tuberculosis. This study aimed to identify...

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Bibliographic Details
Main Authors:	Lindiwe Modest Faye, Cebo Magwaza, Ntandazo Dlatu, Teke Apalata
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Information
Subjects:	latent tuberculosis infection logistic regression machine learning random forest public health LTBI awareness
Online Access:	https://www.mdpi.com/2078-2489/16/3/239
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Exploring Determinants and Predictive Models of Latent Tuberculosis Infection Outcomes in Rural Areas of the Eastern Cape: A Pilot Comparative Analysis of Logistic Regression and Machine Learning Approaches

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