Query Reformulation for Clinical Decision Support Search

Abstract

One of the tasks a Clinical Decision Support (CDS) system is designed to solve is retrieving the most relevant and actionable literature for a given medical case report. In this work, we present a query reformulation approach that addresses the unique formulation of case reports, making them suitable to be used on a general purpose search engine. Furthermore, we introduce five reranking algorithms designed to re-order a list of retrieved literature to better match the type of information needed for each case report.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618633

Entities

People

  • Andrew R Yates
  • Arman Cohan
  • Luca Soldaini
  • Nazli Goharian
  • Ophir Frieder

Organizations

  • Georgetown University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Algorithms
  • Coefficients
  • Computer Science
  • Feedback
  • Formal Languages
  • Indicators
  • Information Retrieval
  • Language
  • Literature
  • Machine Learning
  • Observation
  • Precision
  • Probability
  • Vocabulary

Readers

  • Information Retrieval
  • Operations Research
  • Systems Analysis and Design