Machine learning-based prediction of antibiotic resistance in Mycobacterium tuberculosis clinical isolates from Uganda

Abstract Background Efforts toward tuberculosis management and control are challenged by the emergence of Mycobacterium tuberculosis (MTB) resistance to existing anti-TB drugs. This study aimed to explore the potential of machine learning algorithms in predicting drug resistance of four anti-TB drug...

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Hauptverfasser:	Sandra Ruth Babirye, Mike Nsubuga, Gerald Mboowa, Charles Batte, Ronald Galiwango, David Patrick Kateete
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2024-12-01
Schriftenreihe:	BMC Infectious Diseases
Schlagworte:	Machine learning Antimicrobial resistance Whole-genome sequence Mutations Mycobacterium tuberculosis Clinical
Online-Zugang:	https://doi.org/10.1186/s12879-024-10282-7
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