Evaluation of Machine Learning and Rules-Based Approaches for Predicting Antimicrobial Resistance Profiles in Gram-negative Bacilli from Whole Genome Sequence Data

The time-to-result for culture-based microorganism recovery and phenotypic antimicrobial susceptibility testing necessitates initial use of empiric (frequently broad-spectrum) antimicrobial therapy. If the empiric therapy is not optimal, this can lead to adverse patient outcomes and contribute to in...

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Detalles Bibliográficos
Autores principales: Pesesky, Mitchell W., Hussain, Tahir, Wallace, Meghan, Patel, Sanket, Andleeb, Saadia, Burnham, Carey-Ann D., Dantas, Gautam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5124574/
https://www.ncbi.nlm.nih.gov/pubmed/27965630
http://dx.doi.org/10.3389/fmicb.2016.01887

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5124574/
https://www.ncbi.nlm.nih.gov/pubmed/27965630
http://dx.doi.org/10.3389/fmicb.2016.01887

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