北京生物医学工程

聚类分析法在癌胚抗原数据挖掘分析中的应用研究

Clustering analysis and its application in data mining of carcinoembryonic antigen

作者：刘杰赵满仓张淑艳

单位：北京军区总医院检验科(北京100700)

关键词：数据挖掘；聚类分析；癌胚抗原

分类号：R318.04

出版年·卷·期（页码）：2016·35·4（395-399）

摘要：

目的探讨聚类分析方法在癌胚抗原数据的应用，以获取有价值的诊断信息。方法回顾分析自2008年4月至2013年4月癌胚抗原数据，采用SPSS Clementine数据挖掘软件的K-means模型，对CEA相关的性别、年龄等特征用聚类分析法进行挖掘，分析癌胚抗原及关联特征的临床意义。结果 K-means算法对12532行癌胚抗原数据的挖掘结果分5组，其中3组有医学意义，特别是平均年龄为88.541岁的高龄男性老年患者罹患癌症的概率，较老年女性及低龄老年男性更高，临床上应加大对该部分人群的体检力度，争取早发现早治疗。结论通过对血清癌胚抗原结果进行数据挖掘，发现聚类结果符合医学意义,可实现精准的预防及治疗。

Objective To study the application of clustering analysis on carcinoembryonic antigen data in order to obtain valuable diagnostic information. Methods Carcinoembryonic antigen data from 2008 April to 2013 April in our hospital were collected to analyze the clinical significance of the tumor antigen and related characteristics (sex, age and other characteristics) by the analysis based on SPSS Clementine K-means. Results The carcinoembryonic antigen results of K-means algorithm for the data mining of 12532 were divided into 5 groups, including 3 groups with medical significance. Elderly male patients with an average age of 88.541 year old were with higher cancer risk than the older women and younger elderly men. Clinical research should increase the intensity of physical examination on the part of the crowd, and strive for early detection and early treatment. Conclusions Through data mining on serum carcinoembryonic antigen results, we know that we may achieve precise prevention and treatment since the clustering results are consistent with the medical significance.

参考文献：

［1］钱家鸣，杨红.胰腺癌早期诊断及筛查中的问题及进展［J］.实用医院临床杂志, 2011, 8 (1)：2-3.

Qian Jiaming, Yang Hong. Problems and progress in the early diagnosis and screening of pancreatic cancer［J］. Practical Journal of Clinical Medicine, 2011, 8 (1)：2-3.

［2］闫书印，代丽，李勇，等.血清CA 199和CFA在消化道肿瘤中的诊断价值［J］.现代肿瘤医学，2012, 20（8）:1675-1677.

Yan Shuyin, Dai Li, Li Yong, et al. Clinical diagnostic value of serum CA199 and CEA in the cancers of digestive system［J］. Journal of Modern Oncology, 2012, 20（8）:1675-1677.

［3］舒正渝. 浅谈数据挖掘技术及其应用［J］. 中国西部科技,2010,9（5）:38-39.

Shu Zhengyu. Data mining technology and its application［J］.Science and Technology of West China,2010,（5）:38-39.

［4］龚著琳,陈瑛,苏懿,等. 数据挖掘在生物医学数据分析中的应用［J］.上海交通大学学报：医学版,2010,30（11）:1420-1423.

Gong Zhulin, Chen Ying, Su Yi, et al. Application of datam fining in biomedical data analysis［J］. Journal of Shanghai Jiaotong University: Medical Science, 2010,30（11）:1420-1423.

［5］王华,江启成,胡学钢. 数据挖掘在医学上的应用［J］. 安徽医药,2008,12（8）:746-748.

Wang Hua, Jiang Qicheng, Hu Xuegang. Application of data mining to medicine［J］. Anhui Medical and Pharmaceutical Journal, 2008,12（8）:746-748.

［6］王千,王成,冯振元,等. K-means聚类算法研究综述［J］. 电子设计工程, 2012,20（7）:21-24.

Wang Qian, Wang Cheng, Feng Zhenyuan, et al. Review of K-means clustering algorithm［J］. Electronic Design Engineering, 2012,20（7）: 21-24.

［7］李杨,郝志峰,温雯,等. 差分隐私保护k-means聚类方法研究［J］. 计算机科学,2013,40（3）:287-290.

Li Yang, Hao Zhifeng, Wen Wen, et al. Research on differential privacy preserving K-means clustering method［J］. Computer Science, 2013,40（3）:287-290.

［8］沈吟东,张仝辉,徐甲. 基于K-means聚类算法的公交运营时段分析［J］. 交通运输系统工程与信息,2014,14（2）:87-93.

Shen Yindong, Zhang Tonghui, Xu Jia.Research on differential privacy preserving K-means clustering method［J］. Journal of Transportation Systems Engineering and Information Technology, 2014，14（2）：87-93.

［9］陈万青,张思维,郑荣寿,等. 中国2009年恶性肿瘤发病和死亡分析［J］. 中国肿瘤,2013,22（1）:2-12.

Chen Wanqing, Zhang Siwei, Zheng Rongshou, et al. Report of cancer incidence and mortality in China, 2009［J］. China Cancer, 2013,22（1）:2-12.

［10］康凤凤. 我国临床实验室重要质量指标：检验报告适当性的研究与分析［D］. 北京:北京协和医学院, 2014.

Kang Fengfeng. Study of key quality indicator for clinical laboratories: appropriateness of laboratory reports in China［D］. Beijing: Peking Union Medical College, 2014.

［11］郭伟. 血清CEA、CA125、CA199联检在诊断卵巢癌中的作用［J］. 中国社区医师,2014,（34）: 128, 130.

Guo Wei. The joint inspection of serum CEA, CA125, CA199 levels in the diagnosis of ovarian cancer［J］. Chinese Community Doctors, 2014,（34）: 128, 130.

服务与反馈：

【文章下载】【加入收藏】

提示：您还未登录，请登录！点此登录