Using Meta-data to Search for Clinical Records: RMIT at TREC 2012 Medical Track

Abstract

Clinical records contain International Classification of Diseases (ICD) codes summarizing the primary and/or secondary diseases of patients; these codes can be used as evidence to find relevant documents. In this paper we propose a novel approach to locally build a knowledge source from the existing data set to be used for query expansion, exploiting the ICD codes. While this approach does not rely on any external knowledge sources, it proves to be significantly superior to our global expansion and baseline systems.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2012
Accession Number
ADA581301

Entities

People

  • David Martinez
  • Iman Amini
  • Mark R Sanderson
  • Xiaodong Li

Organizations

  • RMIT University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Computers
  • Data Sets
  • Detection
  • Diseases And Disorders
  • Ear
  • Feedback
  • Health Services
  • Hearing Loss
  • Information Retrieval
  • Judgment
  • Language
  • Natural Language Processing
  • Natural Languages
  • Standards
  • Vocabulary

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Information Retrieval
  • Trauma or Military Medicine