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A treatment prediction strategy for overactive bladder using a machine learning algorithm that utilized data from the FAITH study.

Farid HadiBudiwan SumarsonoKyu-Sung LeeSeung-June OhSung Tae ChoYu-Chao HsuPaul RasnerCerys JenkinsHarry Fisher
Published in: Neurourology and urodynamics (2023)
This study successfully created a simple, rapid, and easy-to-use interface that could be further refined to produce a valuable educational or clinical decision-making aid.
Keyphrases
  • machine learning
  • deep learning
  • artificial intelligence
  • combination therapy
  • quantum dots
  • electronic health record
  • smoking cessation
  • replacement therapy