Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
November 25, 2025BMC NeurologyOpen Access

Predictive modeling of motor symptom severity and stage classification in Parkinson’s disease using machine learning methods with selected multiple serological biomarkers

View Full Paper
Ask AI
Bookmark
Share

Authors

SLSiying LiFMFei MoXHXuecai Huang

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/6940378c2d562116f2909b92https://doi.org/10.1186/s12883-025-04504-x
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Advancements in Parkinson’s Disease Prediction Using Machine Learning: A Neurological Perspective2025
  2. 2Machine-Learning-Based Targeted Plasma Proteomic Analysis for Predicting Motor Progression in Parkinson’s Disease: An Interpretable Approach to Personalized Disease Management2026
  3. 3A QUALITATIVE AND QUANTITATIVE APPROACH USING MACHINE LEARNING AND NON-MOTOR SYMPTOMS FOR PARKINSON’S DISEASE CLASSIFICATION. A HIERARCHICAL STUDY2024
  4. 4Enhancing prediction accuracy for Parkinson’s disease using advanced machine learning models2026
  5. 5High-Accuracy Classification of Parkinson’s Disease Using Ensemble Machine Learning and Stabilometric Biomarkers2025 · 4 citations