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A reference set of curated biomedical data and metadata from clinical case reports

机译:临床病例报告中精选的生物医学数据和元数据的参考集

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摘要

Clinical case reports (CCRs) provide an important means of sharing clinical experiences about atypical disease phenotypes and new therapies. However, published case reports contain largely unstructured and heterogeneous clinical data, posing a challenge to mining relevant information. Current indexing approaches generally concern document-level features and have not been specifically designed for CCRs. To address this disparity, we developed a standardized metadata template and identified text corresponding to medical concepts within 3,100 curated CCRs spanning 15 disease groups and more than 750 reports of rare diseases. We also prepared a subset of metadata on reports on selected mitochondrial diseases and assigned ICD-10 diagnostic codes to each. The resulting resource, Metadata Acquired from Clinical Case Reports (MACCRs), contains text associated with high-level clinical concepts, including demographics, disease presentation, treatments, and outcomes for each report. Our template and MACCR set render CCRs more findable, accessible, interoperable, and reusable (FAIR) while serving as valuable resources for key user groups, including researchers, physician investigators, clinicians, data scientists, and those shaping government policies for clinical trials.
机译:临床病例报告(CCR)提供了一种重要的手段,可以分享有关非典型疾病表型和新疗法的临床经验。但是,已发表的病例报告主要包含非结构化和异构的临床数据,这对挖掘相关信息构成了挑战。当前的索引方法通常涉及文档级别的功能,而不是专门为CCR设计的。为了解决这种差异,我们开发了标准化的元数据模板,并在3,100种经过策划的CCR中识别了与医学概念相对应的文本,这些CCR涵盖15个疾病组和750多种罕见病报告。我们还准备了有关所选线粒体疾病的报告的元数据子集,并为每个子集分配了ICD-10诊断代码。产生的资源,即从临床病例报告(MACCR)获取的元数据,包含与高级临床概念相关的文本,包括人口统计学,疾病表现,治疗和每份报告的结果。我们的模板和MACCR集使CCR更易于发现,可访问,可互操作和可重用(FAIR),同时为关键用户群(包括研究人员,医师调查人员,临床医生,数据科学家以及制定政府临床试验政策的用户)提供了宝贵的资源。

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