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A reference set of curated biomedical data and metadata from clinical case reports.
Caufield, J Harry; Zhou, Yijiang; Garlid, Anders O; Setty, Shaun P; Liem, David A; Cao, Quan; Lee, Jessica M; Murali, Sanjana; Spendlove, Sarah; Wang, Wei; Zhang, Li; Sun, Yizhou; Bui, Alex; Hermjakob, Henning; Watson, Karol E; Ping, Peipei.
  • Caufield JH; The NIH BD2K Center of Excellence in Biomedical Computing, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Zhou Y; Department of Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Garlid AO; The NIH BD2K Center of Excellence in Biomedical Computing, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Setty SP; Department of Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Liem DA; Department of Cardiology, First Affiliated Hospital, Zhejiang University School of Medicine, 310003, Hangzhou, Zhejiang, P.R. China.
  • Cao Q; The NIH BD2K Center of Excellence in Biomedical Computing, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Lee JM; Department of Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Murali S; Department of Pediatric and Adult Congenital Cardiac Surgery, Miller Children's and Women's Hospital and Long Beach Memorial Hospital, Long Beach, CA 90806, USA.
  • Spendlove S; The NIH BD2K Center of Excellence in Biomedical Computing, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Wang W; Department of Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Zhang L; Department of Medicine/Cardiology, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Sun Y; The NIH BD2K Center of Excellence in Biomedical Computing, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Bui A; Department of Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Hermjakob H; The NIH BD2K Center of Excellence in Biomedical Computing, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Watson KE; Department of Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA.
  • Ping P; The NIH BD2K Center of Excellence in Biomedical Computing, University of California at Los Angeles, Los Angeles, CA 90095, USA.
Sci Data ; 5: 180258, 2018 11 20.
Article en En | MEDLINE | ID: mdl-30457569
ABSTRACT
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Curaduría de Datos / Estudios Clínicos como Asunto / Metadatos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2018 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Curaduría de Datos / Estudios Clínicos como Asunto / Metadatos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2018 Tipo del documento: Article