A Guide for Constructing Bayesian Network Graphs of Cancer Treatment Decisions

摘要：

　　In complex cancer cases,Bayesian networks can support clinical experts in finding the best patient-specific therapeutic decisions.However,the development of decision networks requires teamwork of at least one domain expert and one knowledge engineer making the process expensive,timeconsuming,and prone to misunderstandings.We present a novel method for guided modeling.This method enables domain experts to model collaboratively without the need of knowledge engineers,increasing both the development speed and model quality.

关键词： Decision Support Systems,Clinical Bayes Theorem Expert Systems

作者: Mario A.Cypko Matthaeus Stoehr Steffen Oeltze-Jafra Andreas Dietz Heinz U.Lemke

作者单位: Innovation Center Computer Assisted Surgery(ICCAS),Medical Faculty,University of Leipzig,Leipzig,Ger Department of Head Medicine and Oral Health,Head and Neck Surgery,University of Leipzig,Leipzig,Germ International Foundation for Computer Assisted Radiology and Surgery(IFCARS),Kuessaberg,Germany

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 1355-1355

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）