Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data

Brain structural morphology varies over the aging trajectory, and the prediction of a person’s age using brain morphological features can help the detection of an abnormal aging process. Neuroimaging-based brain age is widely used to quantify an individual’s brain health as deviation from a normativ...

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Detalles Bibliográficos
Autores principales: Han, Juhyuk, Kim, Seo Yeong, Lee, Junhyeok, Lee, Won Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608785/
https://www.ncbi.nlm.nih.gov/pubmed/36298428
http://dx.doi.org/10.3390/s22208077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608785/
https://www.ncbi.nlm.nih.gov/pubmed/36298428
http://dx.doi.org/10.3390/s22208077

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