Adverse drug reaction intelligent monitoring method based on domain ontology repository

Abstract

The invention discloses an adverse drug reaction intelligent monitoring method based on a domain ontology repository. The method comprises the following steps: constructing an adverse drug reaction domain ontology; collecting the case information of the adverse drug reaction domain ontology and establishing an adverse drug reaction repository; making an active monitoring plan and setting conditions related to the monitoring plan; configuring retrieval keywords; executing the monitoring plan, regularly, automatically and cyclically executing the retrieval task according to the conditions set inthe monitoring plan, calling the search engine tool, applying the adverse drug reaction repository and automatically acquiring suspicious cases; and obtaining the suspicious ADR cases from the retrieval result, checking the suspicious cases and generate the ADR report. The following beneficial effects can be realized by application of the adverse drug reaction intelligent monitoring method basedon the domain ontology repository: semantic query expansion can be realized and the recall rate and the precision rate of the search engine tool retrieval results in the intelligent monitoring methodcan be improved.

Description

technical field [0001] The invention relates to the field of monitoring adverse drug reactions, in particular to an intelligent monitoring method for adverse drug reactions based on a domain ontology knowledge base. Background technique [0002] At present, the widely used adverse drug reaction (adverse drug reaction, ADR) monitoring methods mainly include: [0003] 1) Spontaneous reporting system: In 2001, my country established the "National Adverse Drug Reaction Monitoring System", which is the main application platform for ADR reporting information management in my country. For the ADR report of operating companies, this method mainly has problems such as missed reporting, false reporting, and late reporting of ADR. [0004] 2) Chinese Hospital Pharmacovigilance System: The "Chinese Hospital Pharmacovigilance System" initiated by the National Adverse Drug Reaction Monitoring Center in 2016 realizes ADR intelligent search and Functions such as discovery and rapid reporti...

AI Technical Summary

Problems solved by technology

However, there are still some problems in this system: ①The ADRs of medical institutions are all judged and reported by humans, and the judgment experience or knowledge of ADRs has not been systematically integrated, and the system cannot obtain these knowledge and learn from them; The standardization of data requires that the report data reported to the national database has been basically normalized. These reports are the knowledge base that the system can learn, but they have not been used; ③The ADR intelligent search function in the system is based on the full text of Lucene Realized by search technology, semantic search is not considered, so the recall rate and precision rate are low

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