数据挖掘技术在构建非酒精性脂肪肝患者自我管理关联规则中的应用  

Application of data mining technology in constructing self-management association rules for patients with non-alcoholic fatty liver disease

作　　者：林秀丽[1] 鲍少蕊 黄海萍[2] 舒美春[2] LIN Xiuli;BAO Shaorui;HUANG Haiping;SHU Meichun(Department of Infectious Diseases,the First Affiliated Hospital of Wenzhou Medical University,Wenzhou 325015,China;Department of Neurology,the First Affiliated Hospital of Wenzhou Medical University,Wenzhou 325015,China)

机构地区：[1]温州医科大学附属第一医院感染内科,浙江温州325015 [2]温州医科大学附属第一医院神经内科,浙江温州325015

出　　处：《温州医科大学学报》2023年第9期749-753,共5页Journal of Wenzhou Medical University

基　　金：温州市基础性科研项目(Y2020123)。

摘　　要：目的:通过挖掘与非酒精性脂肪肝(NAFLD)患者自我管理能力的关联因素,为患者制订合理的自我管理方案提供依据。方法:收集2020年11月至2021年9月温州医科大学附属第一医院241例NAFLD患者的婚姻状况、吸烟史、文化程度、BMI、脂肪肝程度等基线资料和自我管理能力,应用Apriori算法挖掘关联规则的频繁项集分析患者的相关数据,提取数据库中与自我管理有关的项集,构建关联规则。结果:患者自我管理得分为60~130分,平均(91.24±16.98)分,将其分为高、中、低水平,进行条件设定,再由χ2检验筛出1322条规则,结合患者因素、临床实践与护理专业知识,最终确定9条与自我管理能力关联的规则。结论:利用数据挖掘技术,发现BMI、合并慢性病的数量、脂肪肝程度、吸烟史、婚姻、文化程度等变量关联会影响患者的自我管理能力。建议对不同文化程的患者采用个体化的宣教方案,积极鼓励家属参与控制体质量、戒烟,提高患者的自我管理能力,改善NAFLD患者的预后。Objective:To explore factors associated with the self-management ability of patients with non-alcoholic fatty liver disease(NAFLD)and to provide the basis for patients to develop reasonable selfmanagement plans.Methods:Collecting the baseline data of 241 NAFLD patients admitted to the First Affiliated Hospital Wenzhou Medical University from November 2020 to September 2021,including marital status,smoking history,education level,body mass index,fatty liver degree,etc.and their self-management ability.The researchers utilized the Apriori algorithm to mine frequent itemsets of association rules,analyze patient-related data and extract itemsets related to self-management from the database.Subsequently,association rules were constructed.Results:The self-management score of patients ranged from 60 to 130 points,with an average of(91.24±16.98)points,which were divided into high,medium and low levels.With conditions set,a total of 1322 rules were screened out through chi-square tests.Considering patient factors,clinical practice and professional nursing knowledge,the researchers decided on nine rules that were directly associated with self-management ability.Conclusion:The findings suggest that variables such as body mass index,number of comorbidities with chronic diseases,degree of fatty liver disease,smoking history,marital status,and educational level are correlated with the selfmanagement ability of NAFLD patients.Therefore,it is recommended that patients from different cultural backgrounds adopt personalized education programs.Additionally,active involvement of family members in weight control and smoking cessation is encouraged to improve patients’self-management ability and enhance the prognosis of NAFLD patients.

关 键 词：非酒精性脂肪肝 自我管理 数据挖掘 人工智能规则 

分 类 号：R575.5[医药卫生—消化系统]