Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing-论文-万方医学网

首页> > Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing

Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing

导出原文传递

翻译打印收藏纠错

第一作者： Fangwan Huang

作者： Fangwan Huang ^[1] ; Xiuyu Leng ; Mohan Vamsi Kasukurthi ; Yulong Huang ; Dongqi Li ; Shaobo Tan ; Guiying Lu ; Juhong Lu ; Ryan G. Benton ; Glen M. Borchert ; Jingshan Huang

作者单位： College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China ^[1]

发布时间 2022-10-29

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

相似文献

中文期刊
外文期刊
学位论文
会议论文

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

法律状态公告日	法律状态	法律状态信息

检索历史清除

Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing

相似文献

同项目论文

相关期刊

检索历史 清除

Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing

相似文献

同项目论文

相关期刊

检索历史清除