A reference set of curated biomedical data and metadata from clinical case reports.
A reference set of curated biomedical data and metadata from clinical case reports.
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DOI：
10.1038/sdata.2018.258
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发表时间：
2018-11-20
期刊：
影响因子：
9.8
通讯作者：
Ping P
中科院分区：
文献类型：
--
作者：
Caufield JH;Zhou Y;Garlid AO;Setty SP;Liem DA;Cao Q;Lee JM;Murali S;Spendlove S;Wang W;Zhang L;Sun Y;Bui A;Hermjakob H;Watson KE;Ping P
临床病例报告（CCRs）提供了一个重要的手段，分享有关非典型疾病表型和新疗法的临床经验。然而，已发表的病例报告包含大量非结构化和异质性的临床数据，对挖掘相关信息构成了挑战。目前的索引方法通常涉及文档级的功能，并没有专门为CCR设计。为了解决这一差异，我们开发了一个标准化的元数据模板，并在3，100个策划的CCR中识别出与医学概念相对应的文本，这些CCR涵盖15个疾病组和750多份罕见疾病报告。我们还准备了一个关于选定线粒体疾病报告的元数据子集，并为每种疾病分配了ICD-10诊断代码。由此产生的资源，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，疾病介绍，治疗和每个报告的结果。我们的模板和MACCR集使CCR更容易找到、访问、互操作和可重用（FAIR），同时也是关键用户群体的宝贵资源，包括研究人员、医生调查人员、临床医生、数据科学家和那些制定政府临床试验政策的人。
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.
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影响因子：
9.8
作者：
Demner-Fushman D;Shooshan SE;Rodriguez L;Aronson AR;Lang F;Rogers W;Roberts K;Tonning J
通讯作者：
Tonning J
影响因子：
3
作者：
Bada M;Eckert M;Evans D;Garcia K;Shipley K;Sitnikov D;Baumgartner WA Jr;Cohen KB;Verspoor K;Blake JA;Hunter LE
通讯作者：
Hunter LE
影响因子：
2
作者：
Akers, Katherine G.
通讯作者：
Akers, Katherine G.
影响因子：
30.8
作者：
Bione, S;DAdamo, P;Toniolo, D
通讯作者：
Toniolo, D
影响因子：
4.6
作者：
Fernandes AC;Dutta R;Velupillai S;Sanyal J;Stewart R;Chandran D
通讯作者：
Chandran D