Machine Learning and Urinary Incontinence in Prostate Cancer: A Generalized Additive Model of Physical Activity and Recovery Patterns.
Manolitsis I; Feretzakis G; Tzelves L; Anastasiou A; Dimitrakopoulos G; Kalles D; Katsimperis S; Verykios VS · 2025 · Studies in health technology and informatics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
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…
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Metadata source: Europe PMC · DOI 10.3233/shti250634