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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...
Autores principales: | Xiong, Min, Lin, Lan, Jin, Yue, Kang, Wenjie, Wu, Shuicai, Sun, Shen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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