Prediction of tuberculosis treatment outcomes using biochemical makers with machine learning

Prediction of tuberculosis treatment outcomes using biochemical makers with machine learning

Abstract Background Tuberculosis (TB) continues to pose a significant threat to global public health. Enhancing patient prognosis is essential for alleviating the disease burden. Objective This study aims to evaluate TB prognosis by incorporating treatment discontinuation into the assessment framewo...

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Bibliographic Details
Main Authors: Zheyue Wang, Zhenpeng Guo, Weijia Wang, Qiang Zhang, Suya Song, Yuan Xue, Zhixin Zhang, Jianming Wang
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Infectious Diseases
Subjects:
Tuberculosis
Machine learning
Treatment outcomes
Discontinuation
Online Access:https://doi.org/10.1186/s12879-025-10609-y
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