Ramesh Priya, Wei Annan, Welter Elisabeth, Bamps Yvan, Stoll Shelley, Bukach Ashley, Sajatovic Martha, Sahoo Satya S
Division of Medical Informatics, Case Western Reserve University, Cleveland, OH.
Neurological Institute, University Hospitals Case Medical Center, Cleveland, OH.
Proceedings (IEEE Int Conf Bioinformatics Biomed). 2015 Nov;2015:731-736. doi: 10.1109/BIBM.2015.7359776.
is a Semantic Web technology-based platform to support large-scale secondary analysis of healthcare data for neurology clinical research. features the novel use of: (1) provenance metadata, which describes the history or origin of patient data, in clinical research analysis, and (2) support for patient cohort queries across multiple institutions conducting research in epilepsy, which is the one of the most common neurological disorders affecting 50 million persons worldwide. is being developed as a healthcare informatics infrastructure to support a national network of eight epilepsy research centers across the U.S. funded by the U.S. Centers for Disease Control and Prevention (CDC). This paper describes the use of the World Wide Web Consortium (W3C) PROV recommendation for provenance metadata that allows researchers to create patient cohorts based on the provenance of the research studies. In addition, the paper describes the use of descriptive logic-based OWL2 epilepsy ontology for cohort queries with "expansion of query expression" using ontology reasoning. Finally, the evaluation results for the data integration and query performance are described using data from three research studies with 180 epilepsy patients. The experiment results demonstrate that is a scalable approach to use Semantic provenance metadata for context-based data analysis in healthcare informatics.
是一个基于语义网技术的平台,用于支持神经病学临床研究中医疗数据的大规模二次分析。其特点在于新颖地使用了:(1)出处元数据,即在临床研究分析中描述患者数据的历史或来源;(2)支持在多个开展癫痫研究的机构间进行患者队列查询,癫痫是全球影响五千万人的最常见神经系统疾病之一。它正被开发为一种医疗信息学基础设施,以支持由美国疾病控制与预防中心(CDC)资助的横跨美国的八个癫痫研究中心组成的全国性网络。本文描述了万维网联盟(W3C)关于出处元数据的PROV建议的使用,该建议允许研究人员基于研究的出处创建患者队列。此外,本文还描述了基于描述逻辑的OWL2癫痫本体在使用本体推理进行“查询表达式扩展”的队列查询中的使用。最后,使用来自三项涉及180名癫痫患者的研究的数据描述了数据集成和查询性能的评估结果。实验结果表明,对于在医疗信息学中基于上下文的数据分析而言,使用语义出处元数据是一种可扩展的方法。