Evaluating Medical Information Retrieval

被引：0

作者：

Koopman, Bevan ^{[1
]}

Bruza, Peter ^{[2
]}

Sitbon, Laurianne ^{[2
]}

Lawley, Michael ^{[1
]}

机构：

[1] CSIRO, Australian E Hlth Res Ctr, Canberra, ACT, Australia

[2] Queensland Univ Technol, Brisbane, Qld, Australia

来源：

PROCEEDINGS OF THE 34TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR'11) | 2011年

关键词：

Medical Information Retrieval; Evaluation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a framework for evaluating information retrieval of medical records. We use the BLULab corpus, a large collection of real-world de-identified medical records. The collection has been hand coded by clinical terminologists using the ICD-9 medical classification system. The ICD codes are used to devise queries and relevance judgements for this collection. Results of initial test runs using a baseline IR system show that there is room for improvement in medical information retrieval. Queries and relevance judgements are made available at http://aehrc.com/med_eval.

引用

页码：1139 / 1140

页数：2

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