What type of study is this?

This is a Validation Study study.

December 8, 2025npj Parkinson s DiseaseOpen Access

Subitem-level multi-scale assessment and machine learning for three-class cognitive status classification in Parkinson’s disease

View Full Paper

Ask AI

Bookmark

Authors

Machine learning identifies cognitive status in Parkinson's disease, suggesting better decision support for clinical care.

Cognitive impairments affect people with Parkinson's disease, leading to a need for accurate classification.
Machine learning techniques supported robust classification across cognitive subgroups, achieving an area under the curve above 0.85.
A two-stage model combining multilayer perceptron and feature selection was applied using data from the Parkinson's Progression Markers Initiative.
The findings imply that better classification can enhance decision support in clinical workflows, requiring additional external validation.

Rwei‐Ling Yu (2025) studied this question.

View Full Paper

Ask AI

Bookmark

December 8, 2025npj Parkinson s DiseaseOpen Access

View Full Paper

Ask AI

Bookmark

Authors

Machine learning identifies cognitive status in Parkinson's disease, suggesting better decision support for clinical care.

Cognitive impairments affect people with Parkinson's disease, leading to a need for accurate classification.
Machine learning techniques supported robust classification across cognitive subgroups, achieving an area under the curve above 0.85.
A two-stage model combining multilayer perceptron and feature selection was applied using data from the Parkinson's Progression Markers Initiative.
The findings imply that better classification can enhance decision support in clinical workflows, requiring additional external validation.

Rwei‐Ling Yu (2025) studied this question.

View Full Paper

Ask AI

Bookmark