Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment

Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment

PurposeAmnestic mild cognitive impairment (aMCI) is a transitional state between normal aging and Alzheimer’s disease (AD). However, not all aMCI patients are observed to convert to AD dementia. Therefore, developing a predictive algorithm for the conversion of aMCI to AD dementia is important. Para...

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Bibliographic Details
Main Authors: Min Young Chun, Chae Jung Park, Jonghyuk Kim, Jee Hyang Jeong, Hyemin Jang, Kyunga Kim, Sang Won Seo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Aging Neuroscience
Subjects:
Alzheimer’s disease
amnestic mild cognitive impairment
prediction algorithm
interpretable machine learning
artificial intelligence
clinical decision-support system
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2022.898940/full

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https://www.frontiersin.org/articles/10.3389/fnagi.2022.898940/full

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