SNOMED-CT对肿瘤学药物适应症概念和成分语义的覆盖范围。
Coverage of oncology drug indication concepts and compositional semantics by SNOMED-CT.
作者信息
Brown Steven H, Bauer Brent A, Wahner-Roedler Dietland L, Elkin Peter L
机构信息
Department of Veterans Affairs, USA.
出版信息
AMIA Annu Symp Proc. 2003;2003:115-9.
OBJECTIVE
To evaluate SNOMED-CT 's ability to represent simple and compositional concepts in FDA approved oncology drug indications.
METHODS
Oncology drug indications were decomposed into single and compositional concepts. SNOMED-CT's coverage of single concepts and the semantics needed to create compositional concepts were evaluated using automated and manual techniques.
RESULTS
SNOMED-CT covered 86.3% of single concepts present in oncology drug indications; 11.3% of indications were covered completely. Coverage was best for concepts describing diseases, anatomy, and patient characteristics. Medications accounted for 50.5% of missing concepts. Excluding drug names, 45.2% of indications were completely represented. SNOMED-CT's semantics completely represented 60.1% of compositional expressions.
CONCLUSIONS
SNOMED-CT's overall coverage of the concepts in oncology drug indications was good. Improvements or alternatives are needed for medications and semantics.
目的
评估系统化医学命名法临床术语（SNOMED-CT）在FDA批准的肿瘤学药物适应症中表示简单概念和组合概念的能力。
方法
将肿瘤学药物适应症分解为单一概念和组合概念。使用自动化和人工技术评估SNOMED-CT对单一概念的覆盖范围以及创建组合概念所需的语义。
结果
SNOMED-CT覆盖了肿瘤学药物适应症中86.3%的单一概念；11.3%的适应症被完全覆盖。对于描述疾病、解剖结构和患者特征的概念，覆盖情况最佳。药物占缺失概念的50.5%。排除药物名称后，45.2%的适应症得到了完整表示。SNOMED-CT的语义完整表示了60.1%的组合表达式。
结论
SNOMED-CT对肿瘤学药物适应症中概念的总体覆盖情况良好。药物和语义方面需要改进或替代方案。
Zotero 插件