York University at TREC 2012: Medical Records Track

Abstract

In this paper, we present our participation in the Medical Records Track of TREC 2012. This is the second time we take part in this track. 50 new topics have been published in this year. The goal of this track is still to find relevant patients that have particular diseases and/or treatments. To achieve this goal, we try four methods which include popular techniques like query expansion, concept recognition and so on. Four runs have been submitted and they are based on our previous work. Detailed discussion has been made to show the effectiveness of different techniques on the Medical Records dataset.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2012
Accession Number
ADA581536

Entities

People

  • Jimmy Huang
  • Jun Miao
  • Zheng Ye

Organizations

  • University of York

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Breast Cancer
  • Diseases And Disorders
  • Feedback
  • Frequency
  • Health Services
  • Heart Diseases
  • Hematologic Diseases
  • Information Operations
  • Information Retrieval
  • Language
  • Models
  • Natural Language Processing
  • Natural Languages
  • Probabilistic Models
  • Standards
  • Universities

Readers

  • Information Retrieval
  • Medical or Health Care Field.
  • Theoretical Analysis.