The MiPACQ clinical question answering system.
The MiPACQ clinical question answering system.
复制标题
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
B. Cairns;Rodney D. Nielsen;James J. Masanz;James H. Martin;M. Palmer;Wayne H. Ward;G. Savova
中科院分区：
文献类型：
--
作者：
B. Cairns;Rodney D. Nielsen;James J. Masanz;James H. Martin;M. Palmer;Wayne H. Ward;G. Savova
多源临床问题回答集成平台（MiPACQ）是一个QA管道，将各种信息检索和自然语言处理系统集成到一个可扩展的问答系统中。我们提出了该系统的架构，并在基于Medpedia健康和医学百科全书的人工注释评估数据集上对MiPACQ进行了评估。与我们的基线信息检索系统相比，基于MiPACQ规则的系统在一次精度上提高了84%，基于MiPACQ机器学习的系统提高了134%。其他性能指标，包括精度/召回曲线下的平均倒数秩和面积也显示出显着改善，验证了MiPACQ设计和实现的有效性。
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.