Prediction of antimicrobial resistance of Klebsiella pneumoniae from genomic data through machine learning

Antimicrobials, such as antibiotics or antivirals are medications employed to prevent and treat infectious diseases in humans, animals, and plants. Antimicrobial Resistance occurs when bacteria, viruses, and parasites no longer respond to these medicines. This resistance renders antibiotics and othe...

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Veröffentlicht in:	PloS one 2024-09, Vol.19 (9), p.e0309333
Hauptverfasser:	Condorelli, Chiara, Nicitra, Emanuele, Musso, Nicolò, Bongiorno, Dafne, Stefani, Stefania, Gambuzza, Lucia Valentina, Carchiolo, Vincenza, Frasca, Mattia
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Animal diseases Anti-Bacterial Agents - pharmacology Antibiotic resistance Antibiotics Antimicrobial agents Antimicrobial resistance Antiviral agents Bacteria Bacterial pneumonia Biology and Life Sciences Biotechnology industry Causes of Computer and Information Sciences Datasets Disease resistance Disease spread Disease transmission Drug resistance Drug resistance in microorganisms Drug Resistance, Bacterial - genetics Drug therapy E coli Evidence-based medicine Genes Genetic aspects Genome, Bacterial Genomes Genomics Genomics - methods Health aspects Health risks Hospitals Humans Imipenem Infectious diseases Klebsiella Klebsiella Infections - drug therapy Klebsiella Infections - microbiology Klebsiella pneumoniae Klebsiella pneumoniae - drug effects Klebsiella pneumoniae - genetics Learning algorithms Machine Learning Medicinal plants Medicine and Health Sciences Parasite resistance Parasites Pathogens Physical Sciences Pneumonia Predictions Regression analysis Research and Analysis Methods Risk assessment Streptococcus infections Virulence
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