PCA-ELMBJ算法下右删失生存数据分析  

Analysis of right censored survival data based on PCA-ELMBJ algorithm

作　　者：黄锦红 徐锦峰 欧阳林[2] 施建华 HUANG Jinhong;XU Jinfeng;OU-YANG Lin;SHI Jianhua(School of Mathematics and Statistics,Minnan Normal University,Zhangzhou,Fujian 363000,China;Department of Diagnostic Radiology and Interventional Therapy,the 909th Hospital of Joint Logistic Support Force(Dongnan Hospital of Xiamen University),Zhangzhou,Fujian 363000,China;Fujian Key Laboratory of Granular Computing and Applications,Zhangzhou,Fujian 363000,China;Fujian Key Laboratory of Data Science and Statistics,Zhangzhou,Fujian 363000,China;Fujian Institute of Meteorological Big Data,Zhangzhou363000,China)

机构地区：[1]闽南师范大学数学与统计学院,福建漳州363000 [2]联勤保障部队第九〇九医院(厦门大学附属东南医院)放射诊断与介入治疗科,福建漳州363000 [3]福建省粒计算及其应用重点实验室,福建漳州363000 [4]福建省数据科学与统计重点实验室,福建漳州363000 [5]数字福建气象大数据研究所,福建漳州363000

出　　处：《闽南师范大学学报（自然科学版）》2023年第3期42-50,共9页Journal of Minnan Normal University：Natural Science

基　　金：国家社会科学基金(20XTJ003)。

摘　　要：针对右删失不完全数据,通过Buckley-James估计器(BJ)进行无偏变换.同时,将主成分分析(PCA)方法与算法相结合,提出了PCA-ELMBJ集成算法.通过随机生成不同删失率下的模拟数据,采用C-index评价指标,验证了PCA-ELMBJ集成算法比原先的ELMBJ集成算法预测效果更好,运行时间更短.最后,通过对带有右删失的TCGAmirna和EMTAB386基因特征数据的实证分析,进一步说明了所提出的PCA-ELMBJ集成算法的准确性和有效性.An unbiased transformation is conducted by the Buckley-James estimator for the right-censored incomplete data.Meanwhile,the PCA(principal component analysis)method is combined with the ELMBJ algorithm to propose the PCA-ELMBJ ensemble algorithm.By randomly generating simulated data at different censoring proportions and using C-index,it is verified that the PCA-ELMBJ ensemble algorithm has better prediction performance and shorter running time than the original ELMBJ ensemble algorithm.Finally,through the empirical analysis of TCGAmirna and EMTAB386 gene expression data,the paper further demonstrates the accuracy and effectiveness of the proposed PCA-ELMBJ ensemble algorithm.

关 键 词：主成分分析 ELM集成算法 Buckley-James估计 右删失数据 

分 类 号：O212[理学—概率论与数理统计]