Machine Learning and Urinary Incontinence in Prostate Cancer: A Generalized Additive Model of Physical Activity and Recovery Patterns.

Journal: Studies in health technology and informatics
Published Date: May 15, 2025

Abstract

The ASCAPE project aims to improve the health-related quality of life of prostate cancer patients using artificial intelligence-driven solutions. This study tries to unravel the complex relationships between patient data variables and urinary incontinence (UI), and post-radical prostatectomy using the ASCAPE datasets. We employed a Generalized Additive Model to analyze patient-reported outcomes on UI (QLQ PR25 questionnaires over a 12-month period), and objective data derived from wearable devices. Our findings showcase age and comorbidities as the main predictors of incontinence severity, whereas physical activity failed to show any significance in our model. Our study highlights the importance of a personalized approach to incontinence care, where patient characteristics and recovery patterns are considered when developing treatment plans.

Authors

  • Ioannis Manolitsis
    2nd Department of Urology, National and Kapodistrian University of Athens, Sismanogleio General Hospital, Athens. giannismanolit@gmail.com.
  • Georgios Feretzakis
    School of Science and Technology, Hellenic Open University, Patras, Greece.
  • Lazaros Tzelves
    2nd Department of Urology, Sismanoglio Hospital, National and Kapodistrian University of Athens, Athens, Greece.
  • Athanasios Anastasiou
    Swansea University, UK.
  • George Dimitrakopoulos
    Informatics and Telematics Department, Harokopio University of Athens (HUA), Greece.
  • Dimitris Kalles
    School of Science and Technology, Hellenic Open University, Patras, Greece.
  • Stamatios Katsimperis
    2nd Department of Urology, University of Athens, 15126 Athens, Greece.
  • Vassilios S Verykios
    School of Science and Technology, Hellenic Open University, Patras, Greece.
  • Ioannis Varkarakis
    2nd Department of Urology, National and Kapodistrian University of Athens, Sismanogleio General Hospital, Athens. medvark3@yahoo.com.

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