An Intelligent Model to Assist Medical Diagnosis Based on Tolerant Rough Sets

摘要：

Without a correct diagnosis, a correct treatment may not be made in medical science. Not confirmed diagnosis, misdiagnosis and missed diagnosis usually happen in medical diagnosis. In the paper, some concepts such as rough exclusive, tolerant rough sets and so on are introduced, and an intelligent model to assist medical diagnosis based on tolerant rough sets is put forward. It was proved to be feasible and effective after tested with a database, and a good proposal, which could assist medical diagnosis in accordance with diagnostic needs.

作者: Bin Nie Weimin Li Mingyan Wang Nan Li Juan Wang Qiang Lu Bei Li

作者单位: Department of Computer Science, Nanchang University, Nanchang, Jiangxi 330031,China Yingtan Radio and TV University, Yingtan, Jiangxi 335000,China Department of Computer Science, Nanchang University, Nanchang, Jiangxi 330031, China Department of Computer Science, Nanchang University, Nanchang.Jiangxi 330031,China

会议类型: 国际会议

会议名称: Third International Symposium on Intelligence Computation and Applications(ISICA 2008)(第三届智能自动化、计算与制造国际研讨会)

会议地点: 武汉

会议语种:英文

页码: 228-231

在线出版日期: 2008-12-19（万方平台首次上网日期，不代表论文的发表时间）