State-of-the-art in biomedical literature retrieval for clinical cases: a survey of the TREC 2014 CDS track

被引:45
作者
Roberts, Kirk [1 ]
Simpson, Matthew [1 ]
Demner-Fushman, Dina [1 ]
Voorhees, Ellen [2 ]
Hersh, William [3 ]
机构
[1] Natl Lib Med, Lister Hill Natl Ctr Biomed Commun, NIH, Bethesda, MD USA
[2] NIST, Gaithersburg, MD 20899 USA
[3] Oregon Hlth & Sci Univ, Dept Med Informat & Clin Epidemiol, Portland, OR 97201 USA
来源
INFORMATION RETRIEVAL JOURNAL | 2016年 / 19卷 / 1-2期
基金
美国国家卫生研究院;
关键词
Biomedical information retrieval; Clinical decision support; Information retrieval evaluation; INFORMATION; DATABASE; MEDLINE; CARE;
D O I
10.1007/s10791-015-9259-x
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Providing access to relevant biomedical literature in a clinical setting has the potential to bridge a critical gap in evidence-based medicine. Here, our goal is specifically to provide relevant articles to clinicians to improve their decision-making in diagnosing, treating, and testing patients. To this end, the TREC 2014 Clinical Decision Support Track evaluated a system's ability to retrieve relevant articles in one of three categories (Diagnosis, Treatment, Test) using an idealized form of a patient medical record . Over 100 submissions from over 25 participants were evaluated on 30 topics, resulting in over 37k relevance judgments. In this article, we provide an overview of the task, a survey of the information retrieval methods employed by the participants, an analysis of the results, and a discussion on the future directions for this challenging yet important task.
引用
收藏
页码:113 / 148
页数:36
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