基于邻域粗糙集的莆田地区肺癌特征选择  

Feature Selection of Lung Cancer in Putian Based on Neighborhood Rough Sets

作　　者：沈林[1] 陈金清[2] 胡建雄[2] 蔡荣贵 Shen Lin;Chen Jinqing;Hu Jianxiong;Cai Ronggui(Putian University,Putian 351100,China;The Affiliated Hospital Of Putian University,Putian 351100,China)

机构地区：[1]莆田学院,福建莆田351100 [2]莆田学院附属医院,福建莆田351100

出　　处：《廊坊师范学院学报（自然科学版）》2021年第2期14-17,22,共5页Journal of Langfang Normal University(Natural Science Edition)

基　　金：福建省中青年教师教育科研项目(JAT190573)。

摘　　要：判断肺部结节是否是肺癌,是具有重大意义的工作,通过分析肺癌临床数据,可以找出和肺癌最相关的特征。首先,从医院采集肺部结节切除术的数据,使用一种改进的变精度邻域粗糙集对其进行特征选择;其次,在实验中使用多种算法验证特征选择的有效性。It is of great significance to determine whether lung nodules are lung cancer. This paper, by analyzing the clinical data of lung cancer, finds out the most relevant features of lung cancer. First, the data of lung nodule resection were collected from the hospital. Then, an improved variable precision neighborhood rough sets is used for feature selection. Finally,several algorithms are used to verify the effectiveness of feature selection.

关 键 词：肺癌 特征选择 邻域粗糙集 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]