Rule-based extraction method of doctor-patient dispute case keywords

Abstract

The invention discloses a rule-based extraction method of doctor-patient dispute case keywords. The method includes: (1) establishing generation templates of extraction rules of the doctor-patient dispute keywords according to keyword categories; (2) modularizing a doctor-patient dispute case document according to mark word containing quantity; (3) defining a keyword set for each module of the doctor-patient dispute case document, and extracting keywords in the corresponding keyword set from each module; (4) writing each keyword, which is extracted in the step (3), as a pseudo-expression according to the generation templates defined in step (1), and automatically mapping the same to a machine-recognizable expression; (5) discriminating whether each extracted keyword is correct, if yes, storing the machine-recognizable expression corresponding to the keyword and document and paragraph attributes to which the same belongs, and otherwise, storing the same into a set of to-be-perfected rules; and (6) adjusting and perfecting the extraction rules according to the set of the to-be-perfected rules. The method increases an accuracy rate and a recall rate of keyword extraction.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a rule-based method for extracting keywords in medical dispute cases. Background technique [0002] Doctor-patient disputes refer to disputes arising between the doctor (medical institution) and the patient (patient or patient's relative) based on medical behavior, and caused by differences in understanding of medical behavior, results, reasons, and responsibilities. In recent years, people's demand for medical services has been increasing, and their requirements for service quality and awareness of rights protection have also increased; however, the reform and development of China's medical and health services are relatively lagging behind, which has led to an increase in the number of doctor-patient disputes year by year. There have even been many vicious cases caused by doctor-patient disputes. The doctor-patient dispute case recommendation system can reco...

AI Technical Summary

Problems solved by technology

At present, the keyword extraction method is mainly based on word segmentation, vocabulary matching and TFIDF calculation. Due to the many and complicated professional vocabulary involved in doctor-patient dispute cases, the construction of vocabulary, Chinese word segmentation, and TFIDF calculation all exist. There are more or less problems, which lead to the low matching accuracy and recall rate of the entire similar case recommendation system; and the words that simply rely on word segmentation + TFIDF to determine keywords are relatively limited and one-sided, and the classification and statistics of doctor-patient disputes Waiting for work is bad

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