Rapid Prediction of Multidrug-Resistant Klebsiella pneumoniae through Deep Learning Analysis of SERS Spectra
Jingwen Lyu, Xue Di Zhang, Jia-Wei Tang, Yunhu Zhao, Suling Liu, Yue Zhao, Ni Zhang, Dan Wang, Long Ye, Xiaoli Chen, Liang Wang, Bing Gu
Abstract
This study focuses on the simultaneous discrimination and prediction of Klebsiella pneumoniae strains with carbapenem-sensitive, carbapenem-resistant, and polymyxin-resistant phenotypes. The implementation of CNN plus an attention mechanism makes the highest prediction accuracy at 99.46%, which confirms the diagnostic potential of the combination of SERS spectroscopy with the deep learning algorithm for antibacterial susceptibility testing in clinical settings.
Topics & Concepts
Klebsiella pneumoniaeMultiple drug resistanceMicrobiologyKlebsiellaBiologyComputational biologyDrug resistanceGeneticsEscherichia coliGeneSpectroscopy Techniques in Biomedical and Chemical ResearchSpectroscopy and Chemometric AnalysesImage Processing Techniques and Applications