全科护理2025，Vol.23Issue(8)：1513-1516,4.DOI:10.12104/j.issn.1674-4748.2025.08.028
基于关联规则的肿瘤住院病人非计划拔管数据挖掘与分析
Data mining and analysis of unplanned extubation of inpatients with cancer based on association rules
摘要
Abstract
Objective:To explore the valuable association rules in unplanned extubation events of inpatients with cancer,and provide reference for the formulation of preventive measures for unplanned extubation.Methods:Data on 300 cases of unplanned extubation events reported from January 2022 to June 2024 at a tertiary Grade Ⅲ,Level A cancer specialty hospital in Changsha City were collected.The Apriori algorithm was utilized for data mining and effectiveness evaluation.Results:A total of 13 pairs of strong association rules were identified.High-risk factors for unplanned extubation events in hospitalized cancer patients include:male gender,age≥60 years,smoking history,surgical history,multiple concurrent catheters,nighttime occurrence,absence of sedation or restraints,nurses on duty with＜5 years of experience,and moderate to high risk of psychological distress,etc.Conclusions:Nursing staff should promptly identify and assess high-risk extubation patients,establish hospital-wide prevention protocols for unplanned extubation of gastric tubes and central venous catheters,implement targeted restraint protocols combined with comfort-oriented sedation,enhance nighttime pain management,strengthen risk awareness among nurses with limited clinical experience,and prioritize psychological interventions for patients at high risk of psychological distress.关键词
肿瘤病人/非计划拔管/关联规则/数据挖掘Key words
tumor patients/unplanned extubation/association rules/data mining引用本文复制引用
向宏婷,胡美华,彭思意,胡永红,宋彩云,李旭英..基于关联规则的肿瘤住院病人非计划拔管数据挖掘与分析[J].全科护理,2025,23(8):1513-1516,4.基金项目
2024年度湖南省卫生健康委科研课题,编号:W20243246 （）
2023年度湖南省中医药科研课题,编号:B2023126 （）
2022年度湖南省卫生健康委科研课题,编号:202214025330 （）
湖南省护理学会2024年度立项科研课题,编号:HNKY202404. （）
