CAJ | 학술논문

为了方便监护人员能够从监控中心的数据库中及时获取病人的生理参数和病情的关系，文中提出一种改进的Apriori算法。该算法充分利用医疗数据的特点，把整条事务当作一个属性，避免了传统Apriori算法反复扫描事务数据库，从而简化了生成频繁项集的过程。为了验证改进Apriori算法的有效性和可行性，文中将此算法与传统的Apriori算法分别应用到监护系统中，对这两种算法的运行结果进行了对比。结果表明，改进Apriori算法在效率上有明显提高，为监护人员针对一些突发性疾病做出及时诊断提供了良好的决策支持。
위료방편감호인원능구종감공중심적수거고중급시획취병인적생리삼수화병정적관계，문중제출일충개진적Apriori산법。해산법충분이용의료수거적특점，파정조사무당작일개속성，피면료전통Apriori산법반복소묘사무수거고，종이간화료생성빈번항집적과정。위료험증개진Apriori산법적유효성화가행성，문중장차산법여전통적Apriori산법분별응용도감호계통중，대저량충산법적운행결과진행료대비。결과표명，개진Apriori산법재효솔상유명현제고，위감호인원침대일사돌발성질병주출급시진단제공료량호적결책지지。
In order to facilitate supervisors to get the relationship between physiological parameters and disease of patients from monitoring center database timely,put forward a kind of improved Apriori algorithm. The algorithm makes full use of the characteristics of medical data and regards the entire transaction as an attribute,avoiding the operation that traditional Apriori algorithm repeatedly scans the transac-tion database,so that simplifies the process while generating candidate sets. In order to verify the effectiveness and feasibility of the im-proved Apriori algorithm,both the Apriori algorithm and the new algorithm are applied to the monitoring system,also the results of the two algorithms are compared. The results show that the improved Apriori algorithm has obvious improvement in efficiency,providing a good decision support about some sudden illness for the care staff timely.