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Data mining based clinical care plan construction

机译:基于数据挖掘的临床护理计划构建

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摘要

This paper proposes a temporal data mining method to construct a clinical pathway for nurses by using the following four steps: first, histories of nursing orders are extracted from hospital information system. Second, orders are classified into several groups by using clustering. Third, by using the labels obtained, rule induction is applied to the data and important features for classification are extracted. Finally, an original temporal dataset is split into several subtables, and the first step will be recursively applied to each table until no split is needed. The method was applied to datasets of several diseases extracted from a hospital information system. The results show that the reuse of stored data will give a powerful tool for maintenance of clinical pathway, which can be viewed as data-oriented management of nursing schedule.
机译:本文提出了一种时态数据挖掘方法,通过以下四个步骤来构建护士的临床路径:首先,从医院信息系统中提取护理单的历史记录。其次,通过使用聚类将订单分为几组。第三,通过使用获得的标签,将规则归纳应用于数据,并提取用于分类的重要特征。最后,将原始时间数据集拆分为几个子表,并且第一步将递归应用于每个表,直到不需要拆分为止。该方法已应用于从医院信息系统中提取的几种疾病的数据集。结果表明,存储数据的重用将为维护临床路径提供强大的工具,可以看作是面向数据的护理计划管理。

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