Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data
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Title
Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data
Authors
Keywords
Antibiotic resistance, Forecasting, Machine learning, Neisseria gonorrhoeae, Klebsiella pneumoniae, Antibiotics, United States, Genome analysis
Journal
PLoS Computational Biology
Volume 15, Issue 9, Pages e1007349
Publisher
Public Library of Science (PLoS)
Online
2019-09-04
DOI
10.1371/journal.pcbi.1007349
References
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