个体化知识图谱：精准医学的可行信息学途径。
Individualized Knowledge Graph: A Viable Informatics Path to Precision Medicine.
机构信息
From the NIH BD2K Center of Excellence for Biomedical Computing at UCLA, Los Angeles, CA (P.P., K.W., A.B.); and NIH BD2K KnowEng Center of Excellence for Biomedical Computing at UIUC, Urbana, IL (J.H.).
出版信息
Circ Res. 2017 Mar 31;120(7):1078-1080. doi: 10.1161/CIRCRESAHA.116.310024.
Abstract
We present here a vision of individualized Knowledge Graphs (iKGs) in cardiovascular medicine: a modern informatics platform of exchange and inquiry that comprehensively integrates biological knowledge with medical histories and health outcomes of individual patients. We envision that this could transform how clinicians and scientists together discover, communicate, and apply new knowledge.
摘要
我们在此提出心血管医学中个体化知识图谱 (iKGs) 的愿景：这是一个现代化的信息学交换和查询平台，全面整合了生物学知识与个体患者的病史和健康结果。我们设想，这将改变临床医生和科学家共同发现、交流和应用新知识的方式。
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