Medication Episode Construction Framework for Retrospective Database Analyses of Patients with Chronic Diseases
Medication Episode Construction Framework for Retrospective Database Analyses of Patients with Chronic Diseases
复制标题
慢性病患者回顾性数据库分析的用药情节构建框架
DOI：
10.1109/jbhi.2017.2786741
复制
发表时间：
2017
影响因子：
7.7
通讯作者：
Kuroda T
中科院分区：
文献类型：
--
作者：
Khotimah PH;Sugiyama Y;Yoshikawa M;Hamasaki A;Sugiyama O;Okamoto K;Kuroda T
目的：对于慢性疾病，病史重建是回顾性数据库分析的必要条件。一个重要的方面是确定哪些处方属于同一事件。然而，仍然缺乏这项任务的标准框架，特别是对于多种治疗数据集。本文提出了一个用于慢性病患者病史的用药事件构建框架。方法：艾伦的宽松时间关系（即，时间约束被放松的时间关系被用于定义考虑患者行为的连续处方关系。例如，患者偶尔会比预约时间早或晚到达。结果：影响稳定期的生成（即，一段时间，至少三个月，其中患者连续服用药物）。当使用最低选择值（7天）时，与不使用的情况相比，产生的较短稳定期（持续时间小于300天）明显减少，而产生的稳定期更长。此外，结果表明，通过使用，关于事件的数量，其中一个稳定期延续了前一个稳定期，减少了可观察到的药物过渡事件的数量。结论：使用从多治疗处方数据集构建药物事件，可以更长时间地表达短持续时间的碎片处方，并修剪重复处方。我们提出的框架是专为多种治疗数据集，这还没有解决以前的研究。的概念放宽了处方关系对噪声引起的患者的行为，因此提供了一个紧凑的，但信息搜索空间，观察药物治疗的过渡事件在纵向分析。
Objective: For chronic diseases, medical history reconstruction is essential for retrospective database analyses. One important aspect is determining which prescriptions belong to the same episode. However, a standard framework for this task is still lacking, particularly for multitherapy datasets. This paper presents a medication episode construction framework for the medical history of patients with chronic diseases.Methods: Allen's relaxed temporal relations (i.e., temporal relations with time constraints relaxed by) is used to define the consecutive prescription relations considering the patients’ behavior. For example, patients occasionally arrive earlier or later than their appointment.Results:influences the generation of stable periods (i.e., periods of time, at least three months, in which a medication is continuously taken by a patient). When using the lowest selectedvalue (7 days), considerably fewer shorter stable periods (for durations less than 300 days) are produced and more longer stable periods are produced compared to cases without using. Furthermore, the results show that by using, regarding the number of events, where a stable period continues the previous stable period, decreases and the number of medication transition events available to be observed increases.Conclusion: Usingin medication episode construction from multitherapy prescription datasets enables the longer expression of short-duration fragmented prescriptions and pruning repetitive prescriptions.Significance: Our proposed framework is designed for multitherapy datasets, which has not been addressed by previous studies. The concept ofrelaxes the prescription relation against noise caused by the patient behavior and consequently provides a compact, but informative search space for observing medication transition events in a longitudinal analysis.