Machine learning for microbial identification and antimicrobial susceptibility testing on MALDI-TOF mass spectra: a systematic review-Reference-Cited by-同舟云学术

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Machine learning for microbial identification and antimicrobial susceptibility testing on MALDI-TOF mass spectra: a systematic review

Published:2020-10 Issue:10 Volume:26 Page:1310-1317
ISSN:1198-743X
Container-title:Clinical Microbiology and Infection
language:en
Short-container-title:Clinical Microbiology and Infection

Author:

Weis C.V.,Jutzeler C.R.,Borgwardt K.

Funder

Alfried Krupp von Bohlen und Halbach-Stiftung (Borgwardt), Germany

Swiss National Science Foundation, Bern, Switzerland

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),General Medicine

Reference68 articles.

1. Automation in the clinical microbiology laboratory;Novak;Clin Lab Med,2013

2. Laboratory automation in clinical bacteriology: what system to choose?;Croxatto;Clin Microbiol Infect,2016

3. Transformation from a conventional clinical microbiology laboratory to full automation;Moreno-Camacho;Lab Med,2017

4. MALDI-TOF mass spectrometry technology for detecting biomarkers of antimicrobial resistance: current achievements and future perspectives;Vrioni;Ann Transl Med,2018

5. Direct identification of bacteria in positive blood culture bottles by matrix-assisted laser desorption ionisation time-of-flight mass spectrometry;Scola;PLoS ONE,2009

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