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Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis

Multimodal data fusion has shown great advantages in uncovering information that could be overlooked by using single modality. In this paper, we consider the integration of high-dimensional multi-modality imaging and genetic data for Alzheimer’s disease (AD) diagnosis. With a focus on taking advanta...

詳細記述

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書誌詳細
出版年:Pattern Recognit
主要な著者: Peng, Jialin, Zhu, Xiaofeng, Wang, Ye, An, Le, Shen, Dinggang
フォーマット: Artigo
言語:Inglês
出版事項: 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6410562/
https://ncbi.nlm.nih.gov/pubmed/30872866
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2018.11.027
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