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A hybrid computational approach for efficient Alzheimer’s disease classification based on heterogeneous data
There is currently a lack of an efficient, objective and systemic approach towards the classification of Alzheimer’s disease (AD), due to its complex etiology and pathogenesis. As AD is inherently dynamic, it is also not clear how the relationships among AD indicators vary over time. To address thes...
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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6021389/ https://ncbi.nlm.nih.gov/pubmed/29950585 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-27997-8 |
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