A clinical medication behavior analysis system based on a highly effective negative sequential mining pattern, and a working method therefor, the system comprising a data acquisition system and a behavior analysis system; the data acquisition system comprises a data acquisition module and a data transfer module; the data acquisition module, in real time, acquires and saves clinical medication behavior data; the data transfer module transfers the clinical medication behavior data to the behavior analysis system; the behavior analysis system comprises a data processing module, a data analysis module, and a data management module; the data processing module performs data cleaning and data classification on the clinical medication behavior data; the data analysis module performs analysis and predictions; and the data management module stores and displays analysis results and gives recommendations for the next step of medication. The present method applies an eNSP-IT algorithm to clinical medication behavior analysis, to rapidly identify the negative sequential relationship between medicines, better predict the next step of medication for the patient, and support clinical decisions based on a medication regimen change.
CLINICAL MEDICATION BEHAVIOR ANALYSIS SYSTEM BASED ON HIGHLY EFFECTIVE NEGATIVE SEQUENTIAL MINING PATTERN, AND WORKING METHOD THEREFOR