Article

The MiPACQ clinical question answering system.

University of Colorado at Boulder, Boulder, CO, USA.
AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium 01/2011; 2011:171-80.
Source: PubMed

ABSTRACT The Multi-source Integrated Platform for Answering Clinical Questions (MiPACQ) is a QA pipeline that integrates a variety of information retrieval and natural language processing systems into an extensible question answering system. We present the system's architecture and an evaluation of MiPACQ on a human-annotated evaluation dataset based on the Medpedia health and medical encyclopedia. Compared with our baseline information retrieval system, the MiPACQ rule-based system demonstrates 84% improvement in Precision at One and the MiPACQ machine-learning-based system demonstrates 134% improvement. Other performance metrics including mean reciprocal rank and area under the precision/recall curves also showed significant improvement, validating the effectiveness of the MiPACQ design and implementation.

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Keywords

Answering Clinical Questions
 
baseline information retrieval system
 
extensible question
 
human-annotated evaluation dataset
 
medical encyclopedia
 
MiPACQ machine-learning-based system
 
MiPACQ rule-based system
 
Multi-source Integrated Platform
 
natural language processing systems
 
performance metrics
 
precision/recall curves
 
reciprocal rank
 
system's architecture