Situated question answering in the clinical domain: selecting the best drug treatment for diseases

Authors:
Dina Demner-Fushman;Jimmy Lin
Affiliations:
University of Maryland, College Park, MD;University of Maryland, College Park, MD
Venue:
SumQA '06 Proceedings of the Workshop on Task-Focused Summarization and Question Answering
Year:
2006

Citing 5
Cited 2

Leveraging a common representation for personalized search and summarization in a medical digital library

Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Natural language question answering: the view from here

Natural Language Engineering
Performance issues and error analysis in an open-domain Question Answering system

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Modeling task-genre relationships for IR in the workplace

Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Question answering based on semantic structures

COLING '04 Proceedings of the 20th international conference on Computational Linguistics

Extracting semantics in a clinical scenario

ACSW '07 Proceedings of the fifth Australasian symposium on ACSW frontiers - Volume 68
An architecture for complex clinical question answering

Proceedings of the 1st ACM International Health Informatics Symposium

Quantified Score

Hi-index	0.00

Visualization

Abstract

Unlike open-domain factoid questions, clinical information needs arise within the rich context of patient treatment. This environment establishes a number of constraints on the design of systems aimed at physicians in real-world settings. In this paper, we describe a clinical question answering system that focuses on a class of commonly-occurring questions: "What is the best drug treatment for X?", where X can be any disease. To evaluate our system, we built a test collection consisting of thirty randomly-selected diseases from an existing secondary source. Both an automatic and a manual evaluation demonstrate that our system compares favorably to PubMed, the search system most commonly-used by physicians today.