Accession Number:

ADA618772

Title:

A Hybrid Approach to Clinical Question Answering

Descriptive Note:

Conference paper

Corporate Author:

PHILIPS RESEARCH USA BRIARCLIFF MANOR NY

Report Date:

2014-11-01

Pagination or Media Count:

5.0

Abstract:

In this paper, we describe our clinical question answering system developed and submitted for the Text Retrieval Conference TREC 2014 Clinical Decision Support CDS track. The task for this track was to retrieve relevant biomedical articles to answer generic clinical questions about medical case reports. As part of our maiden participation in TREC, we submitted a single run using a hybrid Natural Language Processing NLP-driven approach to accomplish the given task. Evaluation results showed that our clinical question answering system achieved the best scores in two of eight dual-judged topics 5 and 27, and performed relatively better compared to the median scores for topics 13, 18, 19, 22, and 23.

Subject Categories:

  • Information Science
  • Medicine and Medical Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE