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 - Huang, Tsi-Shu; Lee, Susan Shin-Jung; Lee, Chia-Chien; Chang, Fu-Chuen (PloS one, 2020)
Keywords: Algorithms; Analysis; Anti-Bacterial Agents - therapeutic use; Antibiotics; Antimicrobial agents; Bacteria; Biology and Life Sciences; Carbapenem-Resistant Enterobacteriaceae - drug effects; Carbapenem-Resistant Enterobacteriaceae - genetics; Carbapenem-Resistant Enterobacteriaceae - isolation & purification; Carbapenems - therapeutic use; Classification; Clinical microbiology; Computer and Information Sciences; Cross Infection - diagnosis; Cross Infection - drug therapy; Cross Infection - microbiology; Data mining; Desorption; DNA, Bacterial - analysis; DNA, Bacterial - isolation & purification; Drug resistance; Enzymes; Health aspects; Hospitals; Humans; Identification methods; Imipenem; Infection; Ionization; Ions; Klebsiella; Klebsiella Infections - diagnosis; Klebsiella Infections - drug therapy; Klebsiella Infections - microbiology; Klebsiella pneumoniae; Klebsiella pneumoniae - genetics; Klebsiella pneumoniae - isolation & purification; Lasers; Learning algorithms; Machine learning; Mass spectrometry; Mass spectroscopy; Medical laboratories; Medicine; Medicine and Health Sciences; Meropenem; Methicillin; Microbial Sensitivity Tests; Microbiology; Microorganisms; Pathology; Physical Sciences; Pneumonia; Predictive Value of Tests; Random Amplified Polymorphic DNA Technique; Research and Analysis Methods; Ribosomal DNA; Scientific imaging; Sodium; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods; Spectroscopy; Staphylococcus infections; Supervised Machine Learning; Support vector machines; Teaching methods; Time; United States--US; Taiwan