Application of machine learning techniques to tuberculosis drug resistance analysis
<strong>Motivation</strong> Timely identification of Mycobacterium tuberculosis (MTB) resistance to existing drugs is vital to decrease mortality and prevent the amplification of existing antibiotic resistance. Machine learning methods have been widely applied for timely predicting resis...
Main Authors: | , , , , , , , , |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Oxford University Press
2018
|