An architecture for complex clinical question answering
IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium(2010)
摘要
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.
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关键词
new core system component,ml algorithm,pioneering data min,new annotators,complex clinical practice question,multi-source integrated platform,complex clinical question answering,cilitate integration,software architecture,data source,clinical investigator,question answering,machine learning,architecture
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