Abstract
This paper describes the participation of the CBNU team at the TREC Clinical Decision Support track 2015. We propose a query expansion method based on a clinical semantic knowledge and a topic model. The clinical semantic knowledge is constructed by using medical terms extracted from Unified Medical Language System (UMLS) and Wikipedia articles. The word and document topics are generated by using a topic model for a document collection. The proposed methods achieved 0.2327 and 0.3033 in the inferred NDCG on Task A and Task B, respectively.
| Original language | English |
|---|---|
| State | Published - 2015 |
| Event | 24th Text REtrieval Conference, TREC 2015 - Gaithersburg, United States Duration: 2015.11.17 → 2015.11.20 |
Conference
| Conference | 24th Text REtrieval Conference, TREC 2015 |
|---|---|
| Country/Territory | United States |
| City | Gaithersburg |
| Period | 15.11.17 → 15.11.20 |
Keywords
- clinical decision support
- clinical semantic knowledge
- query expansion
- topic model
- UMLS
- Wikipedia
Quacquarelli Symonds(QS) Subject Topics
- Linguistics
- Computer Science & Information Systems
- Data Science
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