Abstract
This paper describes the participation of the CBNU team at the TREC Precision Medicine Track 2017. We have constructed cancer-centered document clusters using cancer-gene relation and clinical causal information. A query has been expanded with disease terms and pseudo-relevance feedback is applied for cancer disease document clusters.
| Original language | English |
|---|---|
| State | Published - 2017 |
| Event | 26th Text REtrieval Conference, TREC 2017 - Gaithersburg, United States Duration: 2017.11.15 → 2017.11.17 |
Conference
| Conference | 26th Text REtrieval Conference, TREC 2017 |
|---|---|
| Country/Territory | United States |
| City | Gaithersburg |
| Period | 17.11.15 → 17.11.17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- cancer document cluster
- cancer-gene relationship
- clinical causal knowledge
- Precision medicine
Quacquarelli Symonds(QS) Subject Topics
- Linguistics
- Computer Science & Information Systems
- Data Science
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