Abstract:Background
Urinary incontinence (UI) is the inability to completely control the process of releasing urine. UI presents a social, medical, and mental issue with financial consequences.
Objective
This paper proposes a framework based on machine learning for predicting urination time, which can benefit people with various degrees of UI.
Method
A total of 850 data points were self-recorded by 51 participants to investigate how different factors … Show more
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