心血管疾病并发症与虚弱症关联模式研究

Study on Association Model Between Cardiovascular Disease Complications and Frailty

在心血管疾病的研究中发现,其并发症与虚弱症具有一定的相关性。研究心血管疾病并发症与虚弱症之间的关联模式,有利于临床决策的制定和并发症的预防。但并发症与虚弱症之间的相关关系复杂,导致传统Apriori算法效率低且不准确。本文提出一种改进的关联规则挖掘算法——HI-Apriori。HI-Apriori算法将Hash表和提升率引入Apriori中,利用提升率对候选项集中的不可靠项集进行剪枝,然后建立Hash表存储可靠项集。通过实验数据得出,HI-Apriori算法能够提升至少约60%的运行效率,且从关联规则中得出,中等程度以上的虚弱症会提高心血管患者患有糖尿病的概率。

In the study of cardiovascular disease,its complications have a certain correlation with the frailty.Studying the association pattern between cardiovascular disease complications and frailty is conducive to the formulation of clinical decisions and the prevention of complications.However,the correlation between complications and frailty is complicated,which leads to the inefficiency and inaccuracy of the classical Apriori algorithm.This paper proposes an improved algorithm called HI-Apriori.The HI-Apriori algorithm introduces the Hash table and the improved rate into Apriori.Firstly,the improved rate is used to prun the unreliable itemsets in the candidate set,and then the Hash table is stored to store the reliable item set.According to experimental data,the HI-Apriori algorithm improves the operational efficiency by at least 60%,and from the association rules,the above-mentioned frailty can increase the probability of cardiovascular disease in patients with diabetes.