Study on Association Model Between Cardiovascular Disease Complications and Frailty

doi:10.3969/j.issn.1006-2475.2020.07.017

Abstract

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

CLC Number:

TP3-05

FENG Yun-xia, HAN Zheng-liang, XUE Rong-rong, SONG Bo. Study on Association Model Between Cardiovascular Disease Complications and Frailty[J]. Computer and Modernization, 2020, 0(07): 85-89.

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