Two-centers machine learning analysis for predicting acid-fast bacilli results in tuberculosis sputum tests

Two-centers machine learning analysis for predicting acid-fast bacilli results in tuberculosis sputum tests

Background: Tuberculosis (TB) is a chronic respiratory infectious disease caused by Mycobacterium tuberculosis, typically diagnosed through sputum smear microscopy for acid-fast bacilli (AFB) to assess the infectivity of TB. Methods: This study enrolled 769 patients, including 641 patients from the...

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Bibliographic Details
Main Authors: Jichong Zhu, Yong Zhao, Chengqian Huang, Chenxing Zhou, Shaofeng Wu, Tianyou Chen, Xinli Zhan
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Journal of Clinical Tuberculosis and Other Mycobacterial Diseases
Subjects:
Machine learning
Tuberculosis
Acid-fast bacilli
Big data
SVM-RFE
Online Access:http://www.sciencedirect.com/science/article/pii/S2405579425000026
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