Cognitive functioning in untreated glioma patients: The limited predictive value of clinical variables.

ABSTRACT:

Background

Previous research identified many clinical variables that are significantly related to cognitive functioning before surgery. It is not clear whether such variables enable accurate prediction for individual patients' cognitive functioning because statistical significance does not guarantee predictive value. Previous studies did not test how well cognitive functioning can be predicted for (yet) untested patients. Furthermore, previous research is limited in that only linear or rank-based methods with small numbers of variables were used.

Methods

We used various machine learning models to predict preoperative cognitive functioning for 340 patients with glioma across 18 outcome measures. Predictions were made using a comprehensive set of clinical variables as identifi

SUBMITTER: Boelders SM 

PROVIDER: S-EPMC10995520 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature