Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning
SIB Swiss Institute of Bioinformatics · ETH Zurich · +5 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
250
total citations
- FWCI
- 29.33
- Percentile
- 100%
- References
- 51
Citations per year
Authors
12Topics & keywords
Topics
Keywords
- Antimicrobial
- Antibiotic resistance
- Antimicrobial stewardship
- Machine learning
- Klebsiella pneumoniae
- Artificial intelligence
- Antibiotics
- Matrix-assisted laser desorption/ionization
UN Sustainable Development Goals
- Good health and well-being
No related works found for this paper.