计算机与现代化 ›› 2020, Vol. 0 ›› Issue (07): 85-89.doi: 10.3969/j.issn.1006-2475.2020.07.017

• 人工智能 • 上一篇    下一篇

心血管疾病并发症与虚弱症关联模式研究

  

  1. (青岛科技大学信息科学技术学院,山东青岛266061)
  • 出版日期:2020-07-06 发布日期:2020-07-15
  • 作者简介:冯云霞(1977-),女,山东潍坊人,副教授,博士,研究方向:大数据共享与分析技术,安全与隐私保护,物联网应用技术,E-mail: cloudy_feng@163.com; 韩正亮(1993-),男,山东枣庄人,硕士研究生,研究方向:医疗大数据应用,大数据分析技术; 薛蓉蓉(1997-),女,山东聊城人,硕士研究生,研究方向:网络安全,区块链; 宋波(1978-),男,山东烟台人,教授,博士,研究方向:软件工程,大数据集成技术,医疗大数据应用。
  • 基金资助:
    国家自然科学基金资助项目(61572268, 61303193); 山东省重点研发计划项目(2017GSF18110, 2018GGX101029)

Study on Association Model Between Cardiovascular Disease Complications and Frailty

  1. (School of Information Science & Technology, Qingdao University of Science & Technology, Qingdao 266061, China)
  • Online:2020-07-06 Published:2020-07-15

摘要: 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。

关键词: 心血管疾病, 并发症, 关联规则算法, 虚弱症

Abstract: 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.

Key words: cardiovascular disease, complications, association rule algorithm, frailty

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