首页|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)
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)
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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.”
ZhejiangPeople’s Republic of ChinaAs iaAnesthesiaClinical ResearchClinical Trials and StudiesCyborgsEmergin g TechnologiesHealth and MedicineMachine LearningPain MedicineRisk and P revention
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