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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Autores principales:	Katsunori Oyama, Toshiki Isogai, Yohei Nakayama, Ryoki Kobayashi, Daisuke Kitano, Kenji Karako, Kaoru Sakatani
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2024-08-01
Colección:	Frontiers in Neurology
Materias:	blood test periodontal examination deep learning generative adversarial networks cognitive function
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fneur.2024.1379916/full
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