Mitigating urinary incontinence condition using machine learning

Mitigating urinary incontinence condition using machine learning

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 c...

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Bibliographic Details
Main Authors: Haneen Ali, Abdulaziz Ahmed, Carlos Olivos, Khaled Khamis, Jia Liu
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Urinary incontinence
Urination
Bladder voiding
Online Access:https://doi.org/10.1186/s12911-022-01987-3

Internet

https://doi.org/10.1186/s12911-022-01987-3

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