Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach

Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach

ObjectiveThis study aim to leverage advanced machine learning techniques to develop and validate novel MRI imaging features and single nucleotide polymorphism (SNP) gene data fusion methodologies to enhance the early identification and diagnosis of Parkinson’s disease (PD).MethodsWe leveraged a comp...

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Bibliographic Details
Main Authors: Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Aging Neuroscience
Subjects:
Parkinson’s disease
imaging genomics
stable feature selection
multi-modal fusion
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2025.1510192/full
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