首页> Digestive Diseases and Sciences> Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data

Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data

导出原文传递

翻译打印收藏纠错

第一作者： Hornbrook, Mark C.

作者： Hornbrook, Mark C. ^[1] ; Goshen, Ran ^[2] ; Choman, Eran ; O'Keeffe-Rosetti, Maureen ; Kinar, Yaron ; Liles, Elizabeth G. ; Rust, Kristal C.

作者单位： Kaiser Permanente, Ctr Hlth Res, 3800 North Interstate Ave, Portland, OR 97227 USA ^[1] Medial EarlySign Inc, 11 HaZait St, Kfar Malal, Israel ^[2]

关键词 Colorectal neoplasms Colonoscopy Medical informatics computing Blood cell count Hemoglobin Area under receiver operating characteristics curve

发布时间 2018-04-18

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览3

Digestive Diseases and Sciences

2017年62卷10期

2719-2727页

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览3

点击下载本期目录封面

Digestive Diseases and Sciences

2017年62卷10期

2719-2727页

检索历史清除

Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data

Digestive Diseases and Sciences

相似文献

同项目论文

Digestive Diseases and Sciences

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data

Digestive Diseases and Sciences

相似文献

同项目论文

Digestive Diseases and Sciences

相关期刊

检索历史清除