Hierarchical cluster analysis techniques in the application of antibiotic resistance monitoring aid
AbstractThe purpose of this study provide the choice of antibiotic use auxiliary mode, Xi Wang will provide clinicians in the time of anti- microbial Yao Wu assisted selection, which enables clinicians to properly and effectively administering drugs against different strains. We chose antibiotics as the analytical sensitivity of the database and try a different angle of analysis of antibiotic usage.
Because of microbial resistance data base for multi-attribute variation (Multivariate) factor, then we focus on the analysis of all useful correlation between the variation factors, we choose to cluster analysis (Clusters Analysis) to analyze the concept of benchmarking, the database The different strains of antibiotic sensitivity test results, hierarchical cluster analysis (Hierarchical Clusters Analysis), the analysis results in a tree diagram (dendrogram) showing, and the results applied to hospital infection control team and the Department of Infectious Diseases Laboratory Microbiology Room to analyze the existing database, and the experience of clinicians and laboratory medicine guidelines microbial antibiotic susceptibility test chamber results will be compared, and then use this model to establish anti-microbial agents and microbial
interactions between the class and to provide clinicians in the antimicrobial Drug application reference aid.
