首页|Study Findings on Machine Learning Are Outlined in Reports from Fudan University (A Pre-Voiding Alarm System Using Wearable Ultrasound and Machine Learning Algo rithms for Children With Nocturnal Enuresis)
Study Findings on Machine Learning Are Outlined in Reports from Fudan University (A Pre-Voiding Alarm System Using Wearable Ultrasound and Machine Learning Algo rithms for Children With Nocturnal Enuresis)
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2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on artificial intelligence have been published. According to news originating from Shanghai, People's Repub lic of China, by NewsRx editors, the research stated, "Nocturnal enuresis is a b othersome condition that affects many children and their caregivers. Post-voidin g systems is of little value in training a child into a correct voiding routing while existing pre-voiding systems suffer from several practical limitations, su ch as cumbersome hardware, assuming individual bladder shapes being universal, a nd being sensitive to sensor placement error." Funders for this research include Sti 2030-MAJOR Projects; Science And Technolog y Commission of Shanghai Municipality; Nsfc; Shanghai Municipal Science And Tech nology Major Project; Greater Bay Area Institute of Precision Medicine.
Fudan UniversityShanghaiPeople's Rep ublic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Learni ng
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