A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer’s Disease Diagnosis

Classification is one of the most important tasks in machine learning. Due to feature redundancy or outliers in samples, using all available data for training a classifier may be suboptimal. For example, the Alzheimer’s disease (AD) is correlated with certain brain regions or single nucleotide polym...

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Detalles Bibliográficos
Autores principales: An, Le, Adeli, Ehsan, Liu, Mingxia, Zhang, Jun, Lee, Seong-Whan, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372170/
https://www.ncbi.nlm.nih.gov/pubmed/28358032
http://dx.doi.org/10.1038/srep45269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372170/
https://www.ncbi.nlm.nih.gov/pubmed/28358032
http://dx.doi.org/10.1038/srep45269

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