Improving the efficacy of enuresis alarm treatment through early prediction of treatment outcome: a machine learning approach

Improving the efficacy of enuresis alarm treatment through early prediction of treatment outcome: a machine learning approach

IntroductionBedwetting, also known as enuresis, is the second most common chronic health problem among children and it affects their everyday life negatively. A first-line treatment option is the enuresis alarm. This method entails the child being awoken by a detector and alarm unit upon urination a...

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Bibliographic Details
Main Authors: Karl-Axel Jönsson, Edvin Andersson, Tryggve Nevéus, Torbjörn Gärdenfors, Christian Balkenius
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Urology
Subjects:
enuresis
enuresis alarm
random forest
predictions
machine learning
application
Online Access:https://www.frontiersin.org/articles/10.3389/fruro.2023.1296349/full

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https://www.frontiersin.org/articles/10.3389/fruro.2023.1296349/full

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