A comparison of machine learning models for predicting urinary incontinence in men with localized prostate cancer

INTRODUCTION: Urinary incontinence (UI) is a common side effect of prostate cancer treatment, but in clinical practice, it is difficult to predict. Machine learning (ML) models have shown promising results in predicting outcomes, yet the lack of transparency in complex models known as “black-box” ha...

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Detalles Bibliográficos
Autores principales: Hasannejadasl, Hajar, Osong, Biche, Bermejo, Inigo, van der Poel, Henk, Vanneste, Ben, van Roermund, Joep, Aben, Katja, Zhang, Zhen, Kiemeney, Lambertus, Van Oort, Inge, Verwey, Renee, Hochstenbach, Laura, Bloemen, Esther, Dekker, Andre, Fijten, Rianne R. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130634/
https://www.ncbi.nlm.nih.gov/pubmed/37124522
http://dx.doi.org/10.3389/fonc.2023.1168219

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130634/
https://www.ncbi.nlm.nih.gov/pubmed/37124522
http://dx.doi.org/10.3389/fonc.2023.1168219

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