Safari Leila, Patrick Jon D
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:3218-21. doi: 10.1109/EMBC.2013.6610226.
The proposal of a special purpose language for Clinical Data Analytics (CliniDAL) is presented along with a general model for expressing temporal events in the language. The temporal dimension of clinical data needs to be addressed from at least five different points of view. Firstly, how to attach the knowledge of time based constraints to queries; secondly, how to mine temporal data in different CISs with various data models; thirdly, how to deal with both relative time and absolute time in the query language; fourthly, how to tackle internal time-event dependencies in queries, and finally, how to manage historical time events preserved in the patient's narrative. The temporal elements of the language are defined in Bachus Naur Form (BNF) along with a UML schema. Its use in a designed taxonomy of a five class hierarchy of data analytics tasks shows the solution to problems of time event dependencies in a highly complex cascade of queries needed to evaluate scientific experiments. The issues in using the model in a practical way are discussed as well.
本文提出了一种用于临床数据分析的专用语言（CliniDAL），并给出了一种用该语言表达时间事件的通用模型。临床数据的时间维度至少需要从五个不同的角度来处理。首先，如何将基于时间的约束知识附加到查询中；其次，如何在具有各种数据模型的不同临床信息系统（CIS）中挖掘时间数据；第三，如何在查询语言中处理相对时间和绝对时间；第四，如何处理查询中的内部时间事件依赖性，最后，如何管理保存在患者叙述中的历史时间事件。该语言的时间元素用巴科斯范式（BNF）以及统一建模语言（UML）模式进行定义。它在一个设计好的五类数据分析任务层次分类法中的应用，展示了在评估科学实验所需的高度复杂的查询级联中解决时间事件依赖性问题的方法。同时也讨论了以实际方式使用该模型时存在的问题。
