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Improving the Accuracy of a Wearable Uroflowmeter for Incontinence Monitoring Under Dynamic Conditions: Leveraging Machine Learning Methods.

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Title: Improving the Accuracy of a Wearable Uroflowmeter for Incontinence Monitoring Under Dynamic Conditions: Leveraging Machine Learning Methods.
Authors: Shanehsazzadeh, Faezeh1, faezehs@umich.edu, DeLancey, John O. L.2, Ashton-Miller, James A.1
Source: Biosensors (2079-6374); May2025, Vol. 15 Issue 5, p306, 19p
Database: Applied Science & Technology Source
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        Value: 10.3390/bios15050306
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        Text: English
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      – TitleFull: Improving the Accuracy of a Wearable Uroflowmeter for Incontinence Monitoring Under Dynamic Conditions: Leveraging Machine Learning Methods.
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              Text: May2025
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