Method to Identify Diagnostic Rules for Pancreatic Cancer Using Laboratory Data Based on Bayesian Estimation

摘要：

　　Early diagnosis and treatment of pancreatic cancer is challenging.We attempted to find diagnostic rules for pancreatic cancer from laboratory data in the Osaka University Hospitals data warehouse using Bayesian estimation.We calculated the pretest odds based on the number of laboratory tests and the cutoff value at which the diagnostic accuracy is over 20%.By this method,we identified diagnostic rules of 6 types for one item and 79 types for 2 items.Pancreatic cancer is difficult to detect from only general laboratory tests.However,this method may be promising in early diagnosis.

关键词： Bayes Theorem Pancreatic Neoplasms Chemistry,Clinical

作者: Shirou Manabe Yoshie Shimai Taizo Murata Ayumi Fujii Kanayo Uedab Akito Nakagawa Toshihiro Takeda Naoki Mihara Yasushi Matsamura

作者单位: Department of Medical Informatics,Osaka University Graduate School of Medicine,Osaka,Japan Department of Medical Informatics,Osaka University Hospital,Osaka,Japan

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: 1372-1372

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）