參考文獻 |
[1] L. S. Munoz-Price and R. A. Weinstein, "Acinetobacter Infection," New England Journal of Medicine, vol. 358, no. 12, pp. 1271-1281, 2008.
[2] J. Kluytmans et al., "Nasal Carriage of Staphylococcus Aureus: Epidemiology, Underlying Mechanisms, and Associated Risks," Clinical microbiology reviews, vol. 10, no. 3, pp. 505-520, 1997.
[3] M. E. De Kraker et al., "Mortality and Hospital Stay Associated with Resistant Staphylococcus Aureus and Escherichia Coli Bacteremia: Estimating the Burden of Antibiotic Resistance in Europe," PLoS medicine, vol. 8, no. 10, p. e1001104, 2011.
[4] S. Eurobarometer, "338 ‘Antimicrobial Resistance’, 2009. Survey Commissioned by the Directorate-General for Health and Consumers and Coordinated by the Directorate-General Communication (‘Research and Political Analysis’ Unit)," ed, 2013.
[5] R. J. Fair and Y. Tor, "Antibiotics and Bacterial Resistance in the 21st Century," Perspectives in medicinal chemistry, vol. 6, p. PMC. S14459, 2014.
[6] M. F. Richter et al., "Predictive Compound Accumulation Rules Yield a Broad-Spectrum Antibiotic," Nature, vol. 545, no. 7654, p. 299, 2017.
[7] H. Nikaido, "Prevention of Drug Access to Bacterial Targets: Permeability Barriers and Active Efflux," Science, vol. 264, no. 5157, pp. 382-388, 1994.
[8] D. J. Payne et al., "Drugs for Bad Bugs: Confronting the Challenges of Antibacterial Discovery," Nature reviews Drug discovery, vol. 6, no. 1, p. 29, 2007.
[9] B. Kot et al., "Susceptibility of Escherichia Coli Strains Isolated from Persons with Urinary Tract Infections in 2007-2008 to Antimicrobial Agents," Przeglad epidemiologiczny, vol. 64, no. 2, pp. 307-312, 2010.
[10] G. A. Jacoby and P. Han, "Detection of Extended-Spectrum Beta-Lactamases in Clinical Isolates of Klebsiella Pneumoniae and Escherichia Coli," Journal of clinical microbiology, vol. 34, no. 4, pp. 908-911, 1996.
[11] M. A. Anderson et al., "Diversity and Distribution of Escherichia Coli Genotypes and Antibiotic Resistance Phenotypes in Feces of Humans, Cattle, and Horses," Appl. Environ. Microbiol., vol. 72, no. 11, pp. 6914-6922, 2006.
[12] D. M. Campoli-Richards et al., "Ciprofloxacin," Drugs, vol. 35, no. 4, pp. 373-447, 1988.
[13] R. Davis et al., "Ciprofloxacin," Drugs, vol. 51, no. 6, pp. 1019-1074, 1996.
[14] C. Walsh, "Molecular Mechanisms That Confer Antibacterial Drug Resistance," Nature, vol. 406, no. 6797, p. 775, 2000.
[15] R. Sutherland et al., "Amoxycillin: A New Semi-Synthetic Penicillin," Br Med J, vol. 3, no. 5817, pp. 13-16, 1972.
[16] A. Wieser et al., "Maldi-Tof Ms in Microbiological Diagnostics—Identification of Microorganisms and Beyond (Mini Review)," Applied microbiology and biotechnology, vol. 93, no. 3, pp. 965-974, 2012.
[17] V. Ryzhov and C. Fenselau, "Characterization of the Protein Subset Desorbed by Maldi from Whole Bacterial Cells," Analytical chemistry, vol. 73, no. 4, pp. 746-750, 2001.
[18] E. Carbonnelle et al., "Maldi-Tof Mass Spectrometry Tools for Bacterial Identification in Clinical Microbiology Laboratory," Clinical biochemistry, vol. 44, no. 1, pp. 104-109, 2011.
[19] A. Bizzini et al., "Performance of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Bacterial Strains Routinely Isolated in a Clinical Microbiology Laboratory," Journal of clinical microbiology, vol. 48, no. 5, pp. 1549-1554, 2010.
[20] G. Vrioni et al., "Maldi-Tof Mass Spectrometry Technology for Detecting Biomarkers of Antimicrobial Resistance: Current Achievements and Future Perspectives," Annals of Translational Medicine, vol. 6, no. 12, 2018.
[21] H.-Y. Wang et al., "A New Scheme for Strain Typing of Methicillin-Resistant Staphylococcus Aureus on the Basis of Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry by Using Machine Learning Approach," PloS one, vol. 13, no. 3, p. e0194289, 2018.
[22] S. Suarez et al., "Ribosomal Proteins as Biomarkers for Bacterial Identification by Mass Spectrometry in the Clinical Microbiology Laboratory," Journal of microbiological methods, vol. 94, no. 3, pp. 390-396, 2013.
[23] M. Kostrzewa et al., "Maldi‐Tof Ms: An Upcoming Tool for Rapid Detection of Antibiotic Resistance in Microorganisms," PROTEOMICS–Clinical Applications, vol. 7, no. 11-12, pp. 767-778, 2013.
[24] A. Salman et al., "Detection of Antibiotic Resistant Escherichia Coli Bacteria Using Infrared Microscopy and Advanced Multivariate Analysis," Analyst, vol. 142, no. 12, pp. 2136-2144, 2017.
[25] L. Lechowicz et al., "The Use of Infrared Spectroscopy and Artificial Neural Networks for Detection of Uropathogenic Escherichia Coli Strains′ Susceptibility to Cephalothin," Acta Biochimica Polonica, vol. 60, no. 4, 2013.
[26] J. S. Jung et al., "Evaluation of a Semi-Quantitative Maldi-Tof Ms Method for Rapid Antimicrobial Susceptibility Testing of Positive Blood Cultures," Journal of Clinical Microbiology, pp. JCM. 01131-16, 2016.
[27] M. Sauget et al., "Rapid Antibiotic Susceptibility Testing on Blood Cultures Using Maldi-Tof Ms," PloS one, vol. 13, no. 10, p. e0205603, 2018.
[28] E. De Carolis et al., "A Rapid Diagnostic Workflow for Cefotaxime-Resistant Escherichia Coli and Klebsiella Pneumoniae Detection from Blood Cultures by Maldi-Tof Mass Spectrometry," PloS one, vol. 12, no. 10, p. e0185935, 2017.
[29] K. Sparbier et al., "Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry-Based Functional Assay for Rapid Detection of Resistance against Β-Lactam Antibiotics," Journal of clinical microbiology, vol. 50, no. 3, pp. 927-937, 2012.
[30] S. Van Der Walt et al., "The Numpy Array: A Structure for Efficient Numerical Computation," Computing in Science & Engineering, vol. 13, no. 2, p. 22, 2011.
[31] F. Pedregosa et al., "Scikit-Learn: Machine Learning in Python," Journal of machine learning research, vol. 12, no. Oct, pp. 2825-2830, 2011.
[32] E. Jones et al., "{Scipy}: Open Source Scientific Tools for {Python}," 2014.
[33] K. De Bruyne et al., "Bacterial Species Identification from Maldi-Tof Mass Spectra through Data Analysis and Machine Learning," Systematic and applied microbiology, vol. 34, no. 1, pp. 20-29, 2011.
[34] M. Gu and M. Buckley, "Semi-Supervised Machine Learning for Automated Species Identification by Collagen Peptide Mass Fingerprinting," BMC bioinformatics, vol. 19, no. 1, p. 241, 2018.
[35] F. Saeed et al., "An Efficient Algorithm for Clustering of Large-Scale Mass Spectrometry Data," in 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012: IEEE, pp. 1-4, 2012.
[36] A. Skarysz et al., "Convolutional Neural Networks for Automated Targeted Analysis of Raw Gas Chromatography-Mass Spectrometry Data," in 2018 International Joint Conference on Neural Networks (IJCNN), 2018: IEEE, pp. 1-8, 2018.
[37] J. Lee et al., "Svm Classification Model of Similar Bacteria Species Using Negative Marker: Based on Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry," in 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE), 2017: IEEE, pp. 145-150, 2017.
[38] D. E. Rumelhart et al., "Msnet: A Neural Network That Classifies Mass Spectra," 1990.
[39] J. Han et al., Data Mining: Concepts and Techniques. Elsevier, 2011.
[40] T. Chen and C. Guestrin, "Xgboost: A Scalable Tree Boosting System," in Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining, 2016: ACM, pp. 785-794, 2016.
|