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首页> 外文期刊>Computational Biology and Bioinformatics, IEEE/ACM Transactions on >BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model
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BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model

机译：BMExpert：挖掘MEDLINE以基于语言模型寻找生物医学领域的专家

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摘要

With the rapid development of biomedical sciences, a great number of documents have been published to report new scientific findings and advance the process of knowledge discovery. By the end of 2013, the largest biomedical literature database, MEDLINE, has indexed over 23 million abstracts. It is thus not easy for scientific professionals to find experts on a certain topic in the biomedical domain. In contrast to the existing services that use some approaches, we developed a novel solution to biomedical expert finding, BMExpert, based on the language model. For finding biomedical experts, who are the most relevant to a specific topic query, BMExpert mines MEDLINE documents by considering three important factors: relevance of documents to the query topic, importance of documents, and associations between documents and experts. The performance of BMExpert was evaluated on a benchmark dataset, which was built by collecting the program committee members of ISMB in the past three years (2012-2014) on 14 different topics. Experimental results show that BMExpert outperformed three existing biomedical expert finding services: JANE, GoPubMed, and eTBLAST, with respect to both MAP (mean average precision) and P@50 (Precision). BMExpert is freely accessed at http://datamining-iip.fudan.edu.cn/service/BMExpert/.
机译：随着生物医学科学的飞速发展，已经出版了许多文献来报告新的科学发现并推进知识发现的过程。到2013年底，最大的生物医学文献数据库MEDLINE已索引了2300万份摘要。因此，对于科学专业人员来说，在生物医学领域寻找某个主题的专家并不容易。与使用某些方法的现有服务相比，我们基于语言模型为生物医学专家发现开发了一种新颖的解决方案BMExpert。为了找到与特定主题查询最相关的生物医学专家，BMExpert通过考虑三个重要因素来挖掘MEDLINE文档：文档与查询主题的相关性，文档的重要性以及文档与专家之间的关联。 BMExpert的性能是通过基准数据集进行评估的，该数据集是通过收集过去三年（2012-2014年）针对14个不同主题的ISMB程序委员会成员而建立的。实验结果表明，就MAP（平均平均精度）和P @ 50（精度）而言，BMExpert优于现有的三个生物医学专家发现服务：JANE，GoPubMed和eTBLAST。可以从http://datamining-iip.fudan.edu.cn/service/BMExpert/免费访问BMExpert。

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