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Data Mining and Association Analysis of Irrational Use of Antibiotics in Outpatient Data of New Cooperative Medical System

机译:新型合作医疗系统门诊数据中抗生素非理性使用的数据挖掘与关联分析

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With the widespread use of antibiotics, bacterial resistance has become a focus of widespread attention in the world's medical system. China is one of the largest use of antibiotics in the world. With the popularization of new cooperative medical system (NCMS), there are serious problems of excessive use of antibiotics in small rural medical institutions. Therefore, based on the NCMS data in a certain area, this paper analyzes the use of antibiotics in new rural cooperative clinics by using data mining algorithms. By correlating commonly used antibiotics with disease, the proportion of antibiotics found in this paper was 55.98%, much higher than the international average of 30%, and there was serious excess usage. Based on this paper, a series of improvement strategies were proposed to improve the management level of the medical system.
机译:随着抗生素的广泛使用,细菌抗性已成为世界医疗系统中广泛关注的重点。中国是世界上最大的抗生素使用之一。随着新的合作医疗系统(NCMS)的推广,存在过度使用小型农村医疗机构抗生素的严重问题。因此,基于某个地区的NCMS数据,本文通过使用数据挖掘算法分析了新农村合作诊所的抗生素。通过将常用的抗生素与疾病相关,本文中发现的抗生素比例为55.98%,远高于国际平均水平30%,并且存在严重的过剩。基于本文,提出了一系列改善策略,以改善医疗系统的管理水平。

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