摘要
基于本体驱动的贝叶斯网络模型来辅助医学诊断,采用以NETICA API(Application Programming Interface)为基础的算法实现本体和贝叶斯网络之间的映射来自动构建贝叶斯网络给出诊断信息。选择高血压诊断医学模型对本文模型进行验证,实验结果表明,该模型是正确且可行的,在医学诊断中具有很好的普适性和可移植性。
An ontology-driven Bayesian Network model is proposed in the paper in order to assist medical diagnosis.An algorithm based on NETICA API is used for realizing the mapping between the ontology and Bayesian network to build Bayesian Network automatically in order to make a diagnosis.Finally,a sample medicine model for the diagnosis of hypertension is adopted to test this model.Experimental results demonstrate that the model is correct and feasible.The proposed model has good universality and portability in medical diagnosis.
出处
《太原理工大学学报》
CAS
北大核心
2016年第3期389-393,共5页
Journal of Taiyuan University of Technology
基金
国家高科技研究发展计划(863计划):基于用户兴趣模型的媒体大数据内容整合与合视化技术(2014AA015204)
山西省国际科技合作项目:基于数据分析的远程智能监护系统和推理辅助诊断模型系统研发(2014081018-2)
山西省科技基础条件平台建设基金资助项目(2013091003-0103)
关键词
本体
贝叶斯网络
智能诊断
高血压
ontology
bayesian network
intelligent diagnosis
hypertension
