SNUMedinfo at TREC CDS Track 2014: Medical Case-based Retrieval Task

Abstract

This paper describes the participation of the SNUMedinfo team at the TREC Clinical Decision Support track 2014. This task is about medical case-based retrieval. Case description is used as query text. Per each query, one of three categories (Diagnosis, Test and Treatment) is designated as target information need. Firstly, we used external tagged knowledge-based query expansion method for the relevance ranking. Secondly, machine learning classifier based text categorization method is used for the task-specific ranking. Finally, we combined relevance ranking and task-specific ranking with Borda-fuse method. Our method showed significant performance improvements.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618615

Entities

People

  • Jinwook Choi
  • Sungbin Choi

Organizations

  • Seoul National University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Base Lines
  • Classification
  • Databases
  • Information Operations
  • Instructions
  • Machine Learning
  • Psychological Phenomena And Processes
  • Republic
  • Standards
  • Test And Evaluation
  • Test Sets
  • Universities

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Linguistics
  • Information Retrieval

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval