TUW @ TREC Clinical Decision Support Track 2015

Abstract

In this document, we describe the participation of Vienna University of Technology (TUW in German) in both tasks A and B of the TREC Clinical Decision Support (TREC-CDS) Track 2015. Based on the 2014 data, we concluded that query expansion with PRF resulted in large improvements over a BM25 baseline. Thus, we investigate a manner to add an intermediary layer based on a subset of the concepts annotated by MetaMap. This acts as a way to add weight to relevant concepts in the query and slightly expand the query with the preferred name of relevant concepts, before performing the query expansion with PRF. For TREC-CDS 2014, our method could reach a precision at 10(P@10) of 0.40, while the best result of that year was 0.39. For 2015, we could reach a P@10 of 0.41 using the intermediary layer proposed, a small improvement over our baseline of P@10 of 0.39 when using only the original query expanded with PRF.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 20, 2015
Accession Number
AD1004827

Entities

People

  • Allan Hanbury
  • Joao Palotti

Organizations

  • TU Wien

Tags

DTIC Thesaurus Topics

  • Age Groups
  • Diseases And Disorders
  • European Union
  • Feedback
  • Gain
  • High Gain
  • Hypertension
  • Language
  • Medical Personnel
  • Pain
  • Patient Care
  • Precision
  • Universities
  • Vocabulary

Fields of Study

  • Computer science

Readers

  • Information Retrieval
  • Systems Analysis and Design