Comparison of Machine Learning Models for Brain Age Prediction Using Six Imaging Modalities on Middle-Aged and Older Adults

Machine learning (ML) has transformed neuroimaging research by enabling accurate predictions and feature extraction from large datasets. In this study, we investigate the application of six ML algorithms (Lasso, relevance vector regression, support vector regression, extreme gradient boosting, categ...

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Detalles Bibliográficos
Autores principales: Xiong, Min, Lin, Lan, Jin, Yue, Kang, Wenjie, Wu, Shuicai, Sun, Shen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098634/
https://www.ncbi.nlm.nih.gov/pubmed/37050682
http://dx.doi.org/10.3390/s23073622

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098634/
https://www.ncbi.nlm.nih.gov/pubmed/37050682
http://dx.doi.org/10.3390/s23073622

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