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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Autori principali: Min Young Chun, Chae Jung Park, Jonghyuk Kim, Jee Hyang Jeong, Hyemin Jang, Kyunga Kim, Sang Won Seo
Natura: Articolo
Lingua:English
Pubblicazione: Frontiers Media S.A. 2022-08-01
Serie:Frontiers in Aging Neuroscience
Soggetti:
Alzheimer’s disease
amnestic mild cognitive impairment
prediction algorithm
interpretable machine learning
artificial intelligence
clinical decision-support system
Accesso online: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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