Risk factors for tuberculosis treatment outcomes: a statistical learning-based exploration using the SINAN database with incomplete observations

Risk factors for tuberculosis treatment outcomes: a statistical learning-based exploration using the SINAN database with incomplete observations

Abstract Background Understanding early predictors of treatment outcomes allows better outcome prediction and resource allocation for efficient tuberculosis (TB) management. Objectives This study aimed to predict treatment outcomes of TB patients from a real-world population-wide health record datas...

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Bibliographic Details
Main Authors: Nguyen Ky Phat, Yoonah Lee, Dinh Hoa Vu, Nguyen Phuoc Long, Seongoh Park
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Tuberculosis
Treatment outcome prediction
Imputation
Statistical learning
Machine learning
Online Access:https://doi.org/10.1186/s12911-025-03139-9
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https://doi.org/10.1186/s12911-025-03139-9

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