首页> Frontiers in public health> A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes.

A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes.

导出 LinkOut

翻译打印收藏纠错

第一作者： Monika,Arya

第一单位： Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg, India.

作者： Monika,Arya ^[1] ; Hanumat,Sastry G ^[2] ; Anand,Motwani ^[3] ; Sunil,Kumar ^[2] ; Atef,Zaguia ^[4]

作者单位： Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg, India. ^[1] School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. ^[2] School of Computing Science and Engineering, VIT Bhopal University, Sehore, India. ^[3] Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia. ^[4]

关键词 data stream classification deep learning diabetes detection ensemble technique extra tree ensemble feature selection machine learning overfitting

医学主题词算法(Algorithms);血糖(Blood Glucose);血糖自我监测(Blood Glucose Self-Monitoring);糖尿病(Diabetes Mellitus);人类(Humans)

DOI 10.3389/fpubh.2021.797877

PMID 35242738

发布时间 2022-04-27

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0

Frontiers in public health

2021年9卷

797877页

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览0

Frontiers in public health

2021年9卷

797877页

检索历史清除

A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes.

Frontiers in public health

相似文献

同项目论文

Frontiers in public health

相关期刊

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

检索历史 清除

A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes.

Frontiers in public health

相似文献

同项目论文

Frontiers in public health

相关期刊

检索历史清除