Using machine learning for detection of Parkinson's disease and mild cognitive impairment.

ABSTRACT:

Background

Parkinson's disease is a movement disorder featuring motor symptoms and cognitive decline, which can manifest as mild cognitive impairment. The incidence of mild cognitive impairment increases with disease progression, and Parkinson's disease can cause significant disability, therefore, identification of Parkinson's disease and mild cognitive impairment in Parkinson's disease is imperative. Neuroimaging and biofluid biomarkers have been studied separately, however, research suggests that combining biomarkers may improve detection.

Objectives

We aimed to investigate using machine learning whether a combination of neuroimaging and biofluid biomarkers would result in more effective identification of Parkinson's disease and mild cognitive impairment.

Methods

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SUBMITTER: Dennis AP 

PROVIDER: S-EPMC12629485 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature