Query Expansion with Automatically Predicted Diagnosis: iRiS at TREC CDS track 2016

Danchen Zhang, Daqing He, Sanqiang Zhao, Lei Li

科研成果: 会议稿件论文同行评审

2 引用 (Scopus)

摘要

This paper describes the participation of the iRiS team from University of Pittsburgh in the TREC Clinical Decision Support (CDS) track in 2016. According to the track requirements, 1,000 most relevant biomedical articles from the PubMed Collection were retrieved based on information needs of 30 patients with their electronic health records (EHR) notes. Our approach focuses on using MetaMap to extract medical concepts, and using Wikipedia knowledge base to predict the patient diagnosis. Consequently, the original query is expanded with the predicted diagnosis before sent to search PubMed articles. Parameters were tuned based on CDS 2014 and 2015, and Indri is used to construct the index of the collection. Our automatic runs on description ranks 2nd and our manual runs on notes ranks 3rd in all submitted runs.

源语言英语
出版状态已出版 - 2016
已对外发布
活动25th Text REtrieval Conference, TREC 2016 - Gaithersburg, 美国
期限: 15 11月 201618 11月 2016

会议

会议25th Text REtrieval Conference, TREC 2016
国家/地区美国
Gaithersburg
时期15/11/1618/11/16

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