一种基于相似度聚类的胃癌诊断挖掘算法研究

Research on a Clustering Mining Algorithm of Diagnosis for Cancer of Stomach based on Degree of Similitude

针对大型胃癌诊断数据库中疑似病例的确诊问题,提出了一种聚类挖掘算法,该算法使用匹配系数计算相似度来确定疑似病例,对于大型的数据库具有较好的优越性能。研究结果表明,运用所提算法在医学领域确定疑似病例能取得较好效果。

In this paper,the problem of suspicious case diagnosis in a large database to make a diagnosis for cancer of stomach is discussed,a clustering mining algorithm is proposed.This algorithm uses matching coefficient to compute degree of similitude to diagnose suspicious case,and has preferably performance for large database.The results show that the diagnose suspicious case in the medical field can be improved by using this.