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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...

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Bibliographische Detailangaben
Veröffentlicht in:Pattern Recognit
Hauptverfasser: Peng, Jialin, Zhu, Xiaofeng, Wang, Ye, An, Le, Shen, Dinggang
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2018
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Online Zugang: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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