Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis

2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014

Volumn , Issue , 2014, Pages 618-621

  Niehaus, Katherine E ^a   Walker, Timothy M ^b   Crook, Derrick W ^b   Peto, Tim E A ^b   Clifton, David A ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBIOTICS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); FORECASTING; GENES;

ANTIBIOTIC RESISTANCE; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; COMPUTATIONAL FRAMEWORK; MACHINE LEARNING METHODS; MYCOBACTERIUM TUBERCULOSIS; SINGLE NUCLEOTIDE POLYMORPHISMS; WHOLE GENOME SEQUENCING;

LEARNING SYSTEMS;

EID: 84906875539     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BHI.2014.6864440     Document Type: Conference Paper

References (7)

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