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A multi-stage machine learning framework for stepwise prediction of tuberculosis treatment outcomes: Integrating gradient boosted decision trees and feature-level analysis for clinical decision support

2025-10-19

Abstract excerpt

<title>Abstract</title> <p>Tuberculosis (TB) remains a global health crisis, with multidrug-resistant (MDR-TB) and extensively drug-resistant (XDR-TB) strains posing significant challenges to treatment. With the increasing availability of clinical and diagnostic data, artificial intelligence methods offer significant potential to transform treatment strategies and improve patient outcomes. In this study, we lever...

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Literature Corpus work
35f9632c-f97e-5a94-ae85-8b4944204947
DOI
10.21203/rs.3.rs-7558046/v1
Open publication

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A multi-stage machine learning framework for stepwise prediction of tuberculosis treatment outcomes: Integrating gradient boosted decision trees and feature-level analysis for clinical decision supportDOI 10.21203/rs.3.rs-7558046/v1
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