Jiaxing University Reports Findings in Machine Learning (Machine learning-based prediction of the risk of moderate-to-severe catheter-related bladder discomfort in general anaesthesia patients: a prospective cohort study)

Robotics & Machine Learning Daily News2024，Issue(Oct.1) ：4-4.

来源：

NETL
NSTL

Jiaxing University Reports Findings in Machine Learning (Machine learning-based prediction of the risk of moderate-to-severe catheter-related bladder discomfort in general anaesthesia patients: a prospective cohort study)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Zhejiang, People’s Rep ublic of China, by NewsRx editors, research stated, “Catheterrelated bladder di scomfort (CRBD) commonly occurs in patients who have indwelling urinary catheter s while under general anesthesia. And moderate-to-severe CRBD can lead to signif icant adverse events and negatively impact patient health outcomes.”

Key words

Zhejiang/People’s Republic of China/As ia/Anesthesia/Clinical Research/Clinical Trials and Studies/Cyborgs/Emergin g Technologies/Health and Medicine/Machine Learning/Pain Medicine/Risk and P revention

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航