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Carbapenem-Resistant Enterobacteriaceae

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Detection of carbapenem-resistant Klebsiella pneumoniae on the basis of matrix-assisted laser desorption ionization time-of-flight mass spectrometry by using supervised machine learning approach.

PloS one 32027671
BACKGROUND: Carbapenem-resistant Klebsiella pneumoniae (CRKP) is emerging as a significant pathogen causing healthcare-associated infections. Matrix-assisted laser desorption/ionisation mass spectrometry time-of-flight mass spectrometry (MALDI-TOF MS...
Algorithms Anti-Bacterial Agents Carbapenem-Resistant Enterobacteriaceae Carbapenems Cross Infection DNA, Bacterial Humans Klebsiella Infections Klebsiella pneumoniae Microbial Sensitivity Tests Predictive Value of Tests Random Amplified Polymorphic DNA Technique Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Supervised Machine Learning
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Raman spectrum combined with deep learning for precise recognition of Carbapenem-resistant Enterobacteriaceae.

Analytical and bioanalytical chemistry 38383664
Carbapenem-resistant Enterobacteriaceae (CRE) is a major pathogen that poses a serious threat to human health. Unfortunately, currently, there are no effective measures to curb its rapid development. To address this, an in-depth study on the surface-...
Anti-Bacterial Agents Carbapenem-Resistant Enterobacteriaceae Deep Learning Humans Silver Spectrum Analysis, Raman
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Modelling the rapid detection of Carbapenemase-resistant Klebsiella pneumoniae based on machine learning and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Diagnostic microbiology and infectious disease 39096663
In this study, 80 carbapenem-resistant Klebsiella pneumoniae (CR-KP) and 160 carbapenem-susceptible Klebsiella pneumoniae (CS-KP) strains detected in the clinic were selected and their matrix-assisted laser desorption/ionization time-of-flight mass s...
Anti-Bacterial Agents Bacterial Proteins beta-Lactamases Carbapenem-Resistant Enterobacteriaceae Humans Klebsiella Infections Klebsiella pneumoniae Machine Learning Microbial Sensitivity Tests ROC Curve Sensitivity and Specificity Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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A novel approach to antimicrobial resistance: Machine learning predictions for carbapenem-resistant Klebsiella in intensive care units.

International journal of medical informatics 39674007
This study was conducted at Kocaeli University Hospital in Turkey and aimed to predict carbapenem-resistant Klebsiella pneumoniae infection in intensive care units using the Extreme Gradient Boosting (XGBoost) algorithm, a form of artificial intellig...
Adult Aged Algorithms Anti-Bacterial Agents Carbapenem-Resistant Enterobacteriaceae Carbapenems Case-Control Studies Drug Resistance, Bacterial Female Humans Intensive Care Units Klebsiella Infections Klebsiella pneumoniae Machine Learning Male Middle Aged Retrospective Studies Turkey
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Rapid detection of carbapenem-resistant Escherichia coli and carbapenem-resistant Klebsiella pneumoniae in positive blood cultures via MALDI-TOF MS and tree-based machine learning models.

BMC microbiology 39856543
BACKGROUND: Bloodstream infection (BSI) is a systemic infection that predisposes individuals to sepsis and multiple organ dysfunction syndrome. Early identification of infectious agents and determination of drug-resistant phenotypes can help patients...
Anti-Bacterial Agents Bacteremia Blood Culture Carbapenem-Resistant Enterobacteriaceae Carbapenems Decision Trees Escherichia coli Escherichia coli Infections Humans Klebsiella Infections Klebsiella pneumoniae Machine Learning Microbial Sensitivity Tests Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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