Predicting conversion of Alzheimer’s disease based on multi-modal fusion of neuroimaging and genetic data

Predicting conversion of Alzheimer’s disease based on multi-modal fusion of neuroimaging and genetic data

Abstract Identifying progressive mild cognitive impairment (pMCI) and stable mild cognitive impairment (sMCI) play a significant role in the early diagnosis of Alzheimer’s disease (AD) and can be helpful in early treatment to reduce the risk of conversion to AD. We proposed a classification method o...

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Bibliographic Details
Main Authors: Yang Xi, Qian Wang, Chenxue Wu, Lu Zhang, Ying Chen, Zhu Lan
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Complex & Intelligent Systems
Subjects:
AD
sMCI
pMCI
Multi-modality data
Prediction
Online Access:https://doi.org/10.1007/s40747-024-01680-0
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