Estimation of Human Cerebral Atrophy Based on Systemic Metabolic Status Using Machine Learning

Estimation of Human Cerebral Atrophy Based on Systemic Metabolic Status Using Machine Learning

BackgroundBased on the assumption that systemic metabolic disorders affect cognitive function, we have developed a deep neural network (DNN) model that can estimate cognitive function based on basic blood test data that do not contain dementia-specific biomarkers. In this study, we used the same DNN...

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Bibliographic Details
Main Authors: Kaoru Sakatani, Katsunori Oyama, Lizhen Hu, Shin'ichi Warisawa
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Neurology
Subjects:
Alzheimer's disease
artificial intelligence
deep learning
dementia
cerebral atrophy
screening test
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.869915/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.869915/full

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