Study on automatic monitoring module of inpatient drug-induced allergy based on text categorization technology
WANG Xiao-yu
GUO Dai-hong
XU Yuan-jie
Abstract：Objective: To evaluate drug safety of inpatients by text information in electronic healthcare records, and provide the new method for inpatients ADR monitoring. Methods:On the basis of active monitoring system, automatic monitoring module of inpatient drug-induced allergy based on text categorization technology was designed and developed, and the machine learning of categorization algorithm was carried out through qualiifed text. Results: The active monitoring module consists of the event conifgurator, the representative feature set, the natural language processors, the text categorizer and the result display unit. The module had been tested, and the positive predictive value was 44.44%(4/9) in the 629 users of cefoperazone and sulbactam. The real world incidence rate was 0.64%, which was similar with the incidence rate (0.68%) in the drug directions. Conclusion:Text information active monitoring method had been built and the positive predictive value could be improved by further study of the representative feature set and categorization rules.
Keywords：Adverse drug reactionElectronic healthcare recordNatural language processingText categorization technology
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 117-120 )