Model to assistant medical diagnosis based on quotient set and statistics

doi:10.3778/j.issn.1002-8331.2008.35.059

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (35): 197-199.DOI: 10.3778/j.issn.1002-8331.2008.35.059

• 工程与应用 • Previous Articles Next Articles

Model to assistant medical diagnosis based on quotient set and statistics

NIE Bin,WANG Ming-yan,QIU Tao-rong,YU Hai-wen,FANG Na

Department of Computer Science，Nanchang University，Nanchang 330031，China

Received:2008-09-10 Revised:2008-10-16 Online:2008-12-11 Published:2008-12-11
Contact: NIE Bin

商集统计Rough sets及其医学辅助诊断模式

聂斌,王命延,邱桃荣,于海雯,方娜

南昌大学计算机系，南昌 330031

通讯作者: 聂斌

Abstract

Abstract: Without a correct diagnosis，a correct treatment may not be made in medical science.The paper put forward a model to assistant medical diagnosis based on quotient set and statistics，in connection with the phenomenon that the work of collect numerous of confirmed cases，false positive and false negative，and the request of diagnosis.It is 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.

Key words: quotient set and statistics, rough exclusive, tolerance, diagnosis model

摘要： 在医学上没有正确的诊断，就没有正确的治疗。针对收集的确诊病例多，因假阳性或假阴性等造成误诊和漏诊的情况，以及根据诊断匹配时的要求不同，提出一种基于商集统计Rough sets 的医学辅助诊断模式。通过对数据测试表明，该模式是可行有效的，是一种能根据临床需要进行辅助诊断的方案。

关键词: 商集统计, 粗糙排斥, 容假度, 诊断模式

NIE Bin,WANG Ming-yan,QIU Tao-rong,YU Hai-wen,FANG Na. Model to assistant medical diagnosis based on quotient set and statistics[J]. Computer Engineering and Applications, 2008, 44(35): 197-199.

聂斌,王命延,邱桃荣,于海雯,方娜. 商集统计Rough sets及其医学辅助诊断模式[J]. 计算机工程与应用, 2008, 44(35): 197-199.

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Model to assistant medical diagnosis based on quotient set and statistics

商集统计Rough sets及其医学辅助诊断模式

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