北京生物醫(yī)學工程

聚類分析法在癌胚抗原數(shù)據(jù)挖掘分析中的應用研究

Clustering analysis and its application in data mining of carcinoembryonic antigen

作者：劉杰趙滿倉張淑艷

單位：北京軍區(qū)總醫(yī)院檢驗科(北京100700)

分類號：R318.04

出版年·卷·期（頁碼）：2016·35·4（395-399）

摘要：

目的探討聚類分析方法在癌胚抗原數(shù)據(jù)的應用，以獲取有價值的診斷信息。方法回顧分析自2008年4月至2013年4月癌胚抗原數(shù)據(jù)，采用SPSS Clementine數(shù)據(jù)挖掘軟件的K-means模型，對CEA相關的性別、年齡等特征用聚類分析法進行挖掘，分析癌胚抗原及關聯(lián)特征的臨床意義。結果 K-means算法對12532行癌胚抗原數(shù)據(jù)的挖掘結果分5組，其中3組有醫(yī)學意義，特別是平均年齡為88.541歲的高齡男性老年患者罹患癌癥的概率，較老年女性及低齡老年男性更高，臨床上應加大對該部分人群的體檢力度，爭取早發(fā)現(xiàn)早治療。結論通過對血清癌胚抗原結果進行數(shù)據(jù)挖掘，發(fā)現(xiàn)聚類結果符合醫(yī)學意義,可實現(xiàn)精準的預防及治療。

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.

參考文獻：

［1］錢家鳴，楊紅.胰腺癌早期診斷及篩查中的問題及進展［J］.實用醫(yī)院臨床雜志, 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］閆書印，代麗，李勇，等.血清CA 199和CFA在消化道腫瘤中的診斷價值［J］.現(xiàn)代腫瘤醫(yī)學，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. 淺談數(shù)據(jù)挖掘技術及其應用［J］. 中國西部科技,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］龔著琳,陳瑛,蘇懿,等. 數(shù)據(jù)挖掘在生物醫(yī)學數(shù)據(jù)分析中的應用［J］.上海交通大學學報：醫(yī)學版,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］王華,江啟成,胡學鋼. 數(shù)據(jù)挖掘在醫(yī)學上的應用［J］. 安徽醫(yī)藥,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,馮振元,等. K-means聚類算法研究綜述［J］. 電子設計工程, 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］李楊,郝志峰,溫雯,等. 差分隱私保護k-means聚類方法研究［J］. 計算機科學,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］沈吟東,張仝輝,徐甲. 基于K-means聚類算法的公交運營時段分析［J］. 交通運輸系統(tǒng)工程與信息,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］陳萬青,張思維,鄭榮壽,等. 中國2009年惡性腫瘤發(fā)病和死亡分析［J］. 中國腫瘤,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］康鳳鳳. 我國臨床實驗室重要質量指標：檢驗報告適當性的研究與分析［D］. 北京:北京協(xié)和醫(yī)學院, 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］郭偉. 血清CEA、CA125、CA199聯(lián)檢在診斷卵巢癌中的作用［J］. 中國社區(qū)醫(yī)師,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.

服務與反饋：

【文章下載】【加入收藏】

提示：您還未登錄，請登錄！點此登錄

51黑料吃瓜在线观看,51黑料官网|51黑料捷克街头搭讪_51黑料入口最新视频