首页 / 院系成果 / 成果详情页

An algorithm designed for improving diagnostic efficiency by setting multi-cutoff values of multiple tumor markers 期刊论文

编号：

79e59e26-76ce-4c26-887a-b47b1c91ac86
作者：

Su, Qiang#^[2]Shi, Jinghua^[3];Gu, Ping^[1];Huang, Gang(黄钢)*^[1]Zhu, Yan^[4];
语种：

英文
期刊：

EXPERT SYSTEMS WITH APPLICATIONS ISSN：0957-4174 2012 年 39 卷 5 期 (5784 - 5791) ; APR
收录：
关键词：

Colorectal cancer (CRC) Diagnostic efficiency (DE) Tumor markers Cutoff values Rough set theory (RST) Genetic algorithm (GA)
摘要：

Currently, tumor tumor markers have been effectively applied for colorectal cancer (CRC) diagnosis. In order to decrease the information loss caused by single cutoff value and improve diagnosis efficiency (DE), we explore the integrative application of multiple tumor markers with multiple cutoff values systematically by developing an optimization algorithm named MVMTM. The effectiveness of the MVMTM is experimentally studied based on a real medical dataset. With MVMTM, the united use of three tumor markers can enhance DE from 0.78 to 0.86. Furthermore, MVMTM has been proved to be better than other baseline machine learning algorithms significantly. (C) 2011 Elsevier Ltd. All rights reserved.
推荐引用方式
GB/T 7714：

Su Qiang,Shi Jinghua,Gu Ping, et al. An algorithm designed for improving diagnostic efficiency by setting multi-cutoff values of multiple tumor markers [J].EXPERT SYSTEMS WITH APPLICATIONS,2012,39(5):5784-5791.
APA：

Su Qiang,Shi Jinghua,Gu Ping,Huang Gang,&Zhu Yan.(2012).An algorithm designed for improving diagnostic efficiency by setting multi-cutoff values of multiple tumor markers .EXPERT SYSTEMS WITH APPLICATIONS,39(5):5784-5791.
MLA：

Su Qiang, et al. "An algorithm designed for improving diagnostic efficiency by setting multi-cutoff values of multiple tumor markers" .EXPERT SYSTEMS WITH APPLICATIONS 39,5(2012):5784-5791.
入库时间：

9/27/2020 12:37:35 PM
更新时间：

9/27/2020 12:37:35 PM
条目包含文件：

文件类型：PDF,文件大小：

正在加载全文

未找到全文

浏览次数：5  下载次数：0

分享到：

浏览次数：5

下载次数：0

打印次数：0