Mitigating urinary incontinence condition using machine learning.

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.