Wang Yefeng, Adam Terrence J, Zhang Rui
Institute for Health Informatics.
Institute for Health Informatics; College of Pharmacy.
AMIA Annu Symp Proc. 2017 Feb 10;2016:2053-2061. eCollection 2016.
As the clinical application and consumption of dietary supplements has grown, their side effects and possible interactions with prescribed medications has become a serious issue. Information extraction of dietary supplement related information is a critical need to support dietary supplement research. However, there currently is not an existing terminology for dietary supplements, placing a barrier for informatics research in this field. The terms related to dietary supplement ingredients should be collected and normalized before a terminology can be established to facilitate convenient search on safety information and control possible adverse effects of dietary supplements. In this study, the Dietary Supplement Label Database (DSLD) was chosen as the data source from which the ingredient information was extracted and normalized. The distribution based on the product type and the ingredient type of the dietary supplements were analyzed. The ingredient terms were then mapped to the existing terminologies, including UMLS, RxNorm and NDF-RT by using MetaMap and RxMix. The large gap between existing terminologies and ingredients were found: only 14.67%, 19.65%, and 12.88% of ingredient terms were covered by UMLS, RxNorm and NDF-RT, respectively.
随着膳食补充剂的临床应用和消费量不断增加,其副作用以及与处方药可能存在的相互作用已成为一个严重问题。提取与膳食补充剂相关的信息对于支持膳食补充剂研究至关重要。然而,目前尚无针对膳食补充剂的现有术语,这给该领域的信息学研究带来了障碍。在建立术语以方便查询安全信息并控制膳食补充剂可能的不良反应之前,应收集并规范与膳食补充剂成分相关的术语。在本研究中,选择膳食补充剂标签数据库(DSLD)作为数据源,从中提取并规范成分信息。分析了膳食补充剂基于产品类型和成分类型的分布情况。然后,通过使用MetaMap和RxMix,将成分术语映射到现有术语,包括统一医学语言系统(UMLS)、药品名称标准化数据库(RxNorm)和国家药品处方集参考术语(NDF-RT)。研究发现现有术语与成分之间存在很大差距:UMLS、RxNorm和NDF-RT分别仅涵盖14.67%、19.65%和12.88%的成分术语。