FDUMedSearch at TREC 2015 Clinical Decision Support Track

Abstract

This paper describes the participation of the FDUMedSearch team at TREC2015 Clinical Decision Support track (CDS2015). Given the medical cases, the main purpose of CDS2015 is to develop effective information retrieval techniques in finding relevant documents for patient care. We used Indri as the retrieval engine, which implemented query likelihood method as the baseline. In addition, query expansion using Medical Subject Headings (MeSH), pseudo relevance feedback and classification were used to enhance the retrieval performance. We also tried to extract keywords in two different ways, automatically and manually. Experimental results show that our method achieved significant improvement over baseline methods.

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Document Details

Document Type
Technical Report
Publication Date
Nov 20, 2015
Accession Number
AD1004750

Entities

Organizations

  • Fudan University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Applied Computer Science
  • Clustering
  • Computer Science
  • Databases
  • Education
  • Feedback
  • Information Processing
  • Information Retrieval
  • Language
  • Machine Learning
  • Models
  • Patient Care
  • Probabilistic Models
  • Scientific Research
  • Universities

Readers

  • Information Retrieval
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval