An architecture for complex clinical question answering
Rodney D. Nielsen, James J Masanz, Philip V. Ogren, Wayne Ward, James Martin, Guergana Savova, Martha Stone Palmer · 2010
We present the software architecture for a coming community resource, the Multi-source Integrated Platform for Answering Clinical Questions (MiPACQ). This system is designed to capitalize on state-of-the-art semantic annotation of text to answer complex clinical practice questions and to enable clinical investigators to perform pioneering data mining tasks. The architecture allows easy customization to facilitate integration with different electronic medical records systems and data sources, to retrain machine learning (ML) classifiers to handle domain-specific details, to utilize new annotators and ML algorithms as they become available, and to enhance, replace or add new core system components.