IFN-γ and IL-6 as Key Predicting Biomarkers for Active TB Among PLWH: Results from Four Machine Learning Methods

TB might have activated the two inflammatory biomarkers among the PLWH. The best predictive machine learning method still have limitation in generalizability to predict the outcome on other data sets.

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Publication Details

Journal
International Journal of General Medicine
Published
2026-02-01
DOI
https://doi.org/10.2147/ijgm.s572335
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

IFN-γ and IL-6 as Key Predicting Biomarkers for Active TB Among PLWH: Results from Four Machine Learning Methods

Juan Wan, Pei Zhang, Lingqing Zou, Qiujing Li et al.
International Journal of General Medicine
Tuberculosis Research and Epidemiology
article

IFN-γ and IL-6 as Key Predicting Biomarkers for Active TB Among PLWH: Results from Four Machine Learning Methods

Juan Wan, Pei Zhang, Lingqing Zou, Qiujing Li, Jingyi Dai, Virasakdi Chongsuvivatwong, Jun Zhao, Liping Zhao
article en

Abstract

TB might have activated the two inflammatory biomarkers among the PLWH. The best predictive machine learning method still have limitation in generalizability to predict the outcome on other data sets.

International Journal of General MedicineVol. Volume 19
Hubei University of Medicine (CN), Prince of Songkla University (TH), Kunming Third People's Hospital (CN), Third People's Hospital of Yunnan Province (CN)
Openalex Percentile: Top 58%
Tuberculosis Research and Epidemiology
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