The value of PROMs for predicting erectile dysfunction in prostate cancer patients with Bayesian network.

ABSTRACT:

Purpose

This study aims to develop and externally validate a clinically plausible Bayesian network structure to predict one-year erectile dysfunction in prostate cancer patients by combining expert knowledge with evidence from data using clinical and Patient-reported outcome measures (PROMs) data. In addition, compare and contrast structures that stem from PROM information and routine clinical data.

Summary of background

For men with localized prostate cancer, choosing the optimal treatment can be challenging since each option comes with different side effects, such as erectile dysfunction, which negatively impacts their quality of life. Our previous findings demonstrate that logistic regression models are able to identify patients at high risk of erectile dysfunction. Howev

SUBMITTER: Osong B 

PROVIDER: S-EPMC11345401 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature