A bacterial
antimicrobial drug resistance prediction method and
system is characterized in that a hierarchical configuration unit divides
drug resistance prediction elements into a
patient risk hierarchy, a microbial feature hierarchy, a regional epidemic hierarchy, a clinical rule hierarchy and a
drug characteristic hierarchy, and each hierarchy comprises an initial attribute value and a hierarchy exclusive dynamic rule set; the
data processing unit obtains real-time clinical data, each hierarchy independently processes the data through a hierarchy exclusive dynamic rule set of the hierarchy, and an initial attribute value is converted into a target attribute value; a decision superposition unit superposes the target attribute values of the hierarchies according to the weight priorities of the hierarchies to generate a bacterial
antimicrobial drug resistance prediction result and an
antibacterial drug recommendation scheme; and the report output unit outputs a visual report. Through
hierarchical design and rule monitoring separation architecture, accurate, explainable and high-adaptability bacterial
antimicrobial drug resistance prediction is realized, meanwhile, dependence on high-computing-
power equipment is reduced, and the method is adaptive to use scenes of basic medical institutions.