Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS - Arora, Mehak; Zambrzycki, Stephen C.; Levy, Joshua M.; Esper, Annette; Frediani, Jennifer K.; Quave, Cassandra L.; Fernández, Facundo M.; Kamaleswaran, Rishikesan (Metabolites, 2022)
Keywords: Algorithms; ambient plasma ionization; Antibiotic resistance; Artificial intelligence; Bacteria; Biomarkers; Chromatography; Classification; Clustering; DART-MS; Datasets; Decision trees; Fungi; Gases; Gene expression; imbalanced learning; K-means clustering; Learning algorithms; Machine learning; machine learning classification algorithms; Mass spectrometry; Mass spectroscopy; Organic compounds; Pathogens; Physiology; Scientific imaging; Skin; Solid phase methods; solid phase micro-extraction; Support vector machines; VOCs; Volatile organic compounds; imbalanced learning; pathogen identification; ambient plasma ionization; DART-MS; machine learning classification algorithms; solid phase micro-extraction; VOC; point-of-care devices; K-means clustering