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基于关联规则的缺血性脑卒中患者脱水发生特征分析

Characteristic of dehydration in stroke patients based on the association rule
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摘要 目的了解缺血性脑卒中患者脱水发生特征,探索各特征之间的关联性,为制定脱水预防措施提供参考。方法基于数据挖掘的原理和方法,采集神经重症监护病房351例缺血性脑卒中并发脱水患者的11559项数据,采用Apriori算法对脱水发生特征进行关联规则分析。结果共得到279条强关联规则,结合专业知识分析,获取具有临床实际意义的强关联规则9条,脑卒中脱水患者具有自理能力重度依赖、留置胃管、意识障碍的特征表现,关联因素包括美国国立卫生研究院卒中量表分级为重度、年龄≥65岁、有糖尿病及高血压史、发热、使用呼吸机、利尿剂等。结论缺血性脑卒中患者脱水的发生有一定的特征表现,护理人员可根据强关联规则早期识别易导致脱水的高危人群及因素,及时采取防范措施。 Objective To understand the characteristics of dehydration instroke inpatients,and to explore the correlations among these characteristics,in order to provide a reference for developing measures to prevent dehydration.Methods According to basic principles of data mining,totally 11559 records of 351 ischemic stroke patients with dehydration in neurological intensive care unit were collected.The Apriori algorithm was conducted to mine association rules of dehydration.Results A total of 279 strong association rules were obtained,and 9 strong association rules with clinical practical significance were obtained via analysis with professional knowledge.Characteristics of stroke patients with dehydration included severely dependent on self-care ability,indwelling gastric tube,disturbance of consciousness,and the correlation factors among these characteristics were NIHSS severe stroke symptom,aged 65 years or older,history of diabetes and hypertension,fever,using ventilator and diuretic,etc.Conclusion The ischemic stroke patients with dehydration are characterized with certain manifestations,so nurses can identify high risk population and factors of dehydration at an early stage according to strong association rules,and take preventive measures in time.
作者 徐雲 卫慧 赵琦 Xu Yun;Wei Hui;Zhao Qi(Department of Nursing,Huashan Hospital Affiliated to Fudan University,Shanghai 200040,China)
出处 《护理学杂志》 CSCD 北大核心 2024年第15期15-18,共4页 Journal of Nursing Science
基金 复旦大学附属华山医院科研启动基金项目(2021QD052) 复旦大学-复星护理科研基金(FNF202416)。
关键词 脑卒中 神经重症监护病房 水合状态 脱水 液体管理 意识障碍 关联规则 数据挖掘 stroke neurological intensive care unit hydration status dehydration fluid management disturbance of consciousness association rule data mining
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