摘要
在面向不同类型多样化患者的诊疗服务过程中,如何根据患者的病情实现快速的智能化诊断,是医疗服务中一个新的挑战与前沿性问题。基于此,本研究在对患者复杂多样的诊疗信息和诊断过程进行解析的基础上,提出了一种考虑诊疗过程中患者生成的多源融合行为信息的智能化诊断决策方法。在提出的智能化诊断决策方法中,首先考虑了患者不同类型诊疗信息的属性多样性,定义了不同类型属性特征的距离度量方法;然后,在此基础上采用基于相似性度量的粗糙集属性权重确定算法来获取各属性权重;进一步,将属性的相似性度量和一致性检验相结合,对目标患者病历与历史患者病历库中的信息进行比较和智能推理计算,根据推理过程中定量计算获得的相似度数值等来生成和目标患者病历最为相似的病历,进而辅助医生给出精准的治疗方案。最后,通过Cleveland数据集中的UCI心脏病数据验证了提出方法的有效性和可行性。
In the process of diagnosis and treatment service for different types of diverse patients,how to achieve rapid intelligent diagnosis according to the patient’s condition is a new challenge and frontier problem in medical services.Based on this,the complicated and varied diagnosis information and diagnosis process of patients are analyzed,then an intelligent diagnosis and treatment decision method that considering the multi-source behavior fusion information generated by patients is proposed in this paper.In the proposed intelligent diagnosis decision method,the attribute diversity of different types of patient diagnosis and treatment information is considered,and a distance measurement method considering different types of attribute features is defined.Then,on the basis,a rough set attribute weight determination algorithm based on similarity measure is used to calculate the weight of each attribute.Further,the similarity measurement and consistency test of attributes are combined to compare and analyze the information of target patients and historical patients.According to the similarity value obtained by quantitative calculation in the reasoning process,the most similar case to the target patients can be obtained,which can help doctor give accurate treatment plans.Finally,the validity and feasibility of the proposed method are verified by UCI heart disease data from Cleveland data set.
作者
陈希
张文博
张美霞
郭青
Chen Xi;Zhang Wenbo;Zhang Meixia;Guo Qing(School of Economics&Management,Xidian University,Xi’an,Shaanxi 710071,China;Key Laboratory of Biomedical Information Engineering of Ministry of Education,Biomedical Informatics&Genomics Center,Xi'an Jiaotong University,Xi’an,Shaanxi 710049,China;Nursing Department,Xijing Hospital,the Fourth Military Medical University,Xi’an,Shaanxi 710032,China;Infection Control Department,Xi’an International Medical Center Hospital,Xi’an,Shaanxi 710100,China)
出处
《中国管理科学》
CSSCI
CSCD
北大核心
2024年第11期214-221,共8页
Chinese Journal of Management Science
基金
国家自然科学基金项目(71974154)
陕西省“高层次人才特殊支持计划”青年拔尖人才支持项目
西京医院2019年度学科助推计划(XJZT19ML60)。
关键词
案例推理
多源融合行为信息
粗糙集
相似性度量
一致性检验
case-based reasoning
multi-source fusion behavior information
rough set
similarity measurement
consistency test
