Machine learning prediction of tuberculosis mortality: a comparative analysis of random survival forest and cox regression models

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Journal
BMC Infectious Diseases
Published
2026-03-17
DOI
https://doi.org/10.1186/s12879-026-13109-9
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
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article

Machine learning prediction of tuberculosis mortality: a comparative analysis of random survival forest and cox regression models

Adelabu A. Olusesan, Noel Colin, Osuji Georgeleen, Azeez Adeboye
BMC Infectious Diseases
Tuberculosis Research and Epidemiology
article

Machine learning prediction of tuberculosis mortality: a comparative analysis of random survival forest and cox regression models

Adelabu A. Olusesan, Noel Colin, Osuji Georgeleen, Azeez Adeboye
article en

Abstract

No abstract available for this paper.
BMC Infectious Diseases
University of Fort Hare (ZA), University of the Free State (ZA)
Good health and well-being
Openalex Percentile: Top 20%
Tuberculosis Research and Epidemiology
DOIOpen Access PDFOpenAlex
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Machine learning prediction of tuberculosis mortality: a comparative analysis of random survival forest and cox regression models — Adelabu A. Olusesan, Noel Colin, et al. · BMC Infectious Diseases (2026) | TGRS Research Map | TGRS