Development and external validation of multivariate prediction models for erectile dysfunction in men with localized prostate cancer.

ABSTRACT: While the 10-year survival rate for localized prostate cancer patients is very good (>98%), side effects of treatment may limit quality of life significantly. Erectile dysfunction (ED) is a common burden associated with increasing age as well as prostate cancer treatment. Although many studies have investigated the factors affecting erectile dysfunction (ED) after prostate cancer treatment, only limited studies have investigated whether ED can be predicted before the start of treatment. The advent of machine learning (ML) based prediction tools in oncology offers a promising approach to improve the accuracy of prediction and quality of care. Predicting ED may help aid shared decision-making by making the advantages and disadvantages of certain treatments clear, so that a tailored treatment

SUBMITTER: Hasannejadasl H 

PROVIDER: S-EPMC9983834 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature