Enhancing dementia risk screening with GAN-synthesized periodontal examination and general blood test data

Enhancing dementia risk screening with GAN-synthesized periodontal examination and general blood test data

IntroductionThis study aimed to investigate the effectiveness of data augmentation to improve dementia risk prediction using machine learning models. Recent studies have shown that basic blood tests are cost-effective in predicting cognitive function. However, developing models that address various...

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Bibliographic Details
Main Authors: Katsunori Oyama, Toshiki Isogai, Yohei Nakayama, Ryoki Kobayashi, Daisuke Kitano, Kenji Karako, Kaoru Sakatani
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-08-01
Series:Frontiers in Neurology
Subjects:
blood test
periodontal examination
deep learning
generative adversarial networks
cognitive function
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2024.1379916/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2024.1379916/full

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