武汉工程大学学报
武漢工程大學學報
무한공정대학학보
Journal of Wuhan Institute of Technology
2015年
10期
57-60
,共4页
药物%关联规则%FP-Growth%相互作用
藥物%關聯規則%FP-Growth%相互作用
약물%관련규칙%FP-Growth%상호작용
drugs%association rules%FP-Growth%interaction
针对联合用药多不良反应事件频发的问题,提出使用关联规则挖掘中的FP-Growth算法进行分析运算. 通过FP-Growth算法挖掘药物相互作用数据,得出了药物相互作用的规则,并将此算法成功运用到系统中. 通过对数据库中的药物数据进行分析,对药物是否可以联合用药做出判断,进而对配药工作提供决策支持. 设计并实现了静脉注射药物相互作用分析系统. 结果表明,系统可以提高药物相互作用数据查询的速度95%左右,有利于促进合理用药和用药安全.
針對聯閤用藥多不良反應事件頻髮的問題,提齣使用關聯規則挖掘中的FP-Growth算法進行分析運算. 通過FP-Growth算法挖掘藥物相互作用數據,得齣瞭藥物相互作用的規則,併將此算法成功運用到繫統中. 通過對數據庫中的藥物數據進行分析,對藥物是否可以聯閤用藥做齣判斷,進而對配藥工作提供決策支持. 設計併實現瞭靜脈註射藥物相互作用分析繫統. 結果錶明,繫統可以提高藥物相互作用數據查詢的速度95%左右,有利于促進閤理用藥和用藥安全.
침대연합용약다불량반응사건빈발적문제,제출사용관련규칙알굴중적FP-Growth산법진행분석운산. 통과FP-Growth산법알굴약물상호작용수거,득출료약물상호작용적규칙,병장차산법성공운용도계통중. 통과대수거고중적약물수거진행분석,대약물시부가이연합용약주출판단,진이대배약공작제공결책지지. 설계병실현료정맥주사약물상호작용분석계통. 결과표명,계통가이제고약물상호작용수거사순적속도95%좌우,유리우촉진합리용약화용약안전.
Aimed at the adverse drug reactions resulted from the combination of drugs, the FP - Growth in association rules mining was proposed. The drug-interaction rules were obtained by using FP-Growth algo-rithm to mine the data of drug interaction, and the algorithm was applied to the system successfully. By ana-lyzing the drug data in the database, the feasibility of the drug combination could be concluded, which could provide decision support for the work of configuring drugs. Finally, the system of intravenous drug-interaction analysis system was designed. The application results show that the query speed of drug-interaction data in-creases by 95%in the system, which is conducive to rational drug use and medication safety.
