Neuropsychological tests and machine learning: identifying predictors of MCI and dementia progression.

ABSTRACT:

Background

Early prediction of progression in dementia is of major importance for providing patients with adequate clinical care, with considerable impact on the organization of the whole healthcare system.

Aims

The main task is tailoring robust and consolidated machine learning models to detect which neuropsychological tests are more effective in predicting a patient's mental status. In a translational medicine perspective, such identification tool should find its place in the clinician's toolbox as a support throughout his daily diagnostic routine. A second objective involves predicting the patient's diagnosis based on the results of the cognitive assessment.

Methods

281 patients with MCI or dementia diagnosis were assessed through 14 commonly administered neuropsyc

SUBMITTER: Cazzolli C 

PROVIDER: S-EPMC11903588 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature