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A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer’s disease
The diagnosis of Alzheimer’s disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. Such data are difficult to compare, visualize, and analyze due to the heterogeneous nature of medical tests. We present a hybrid manifold learning framework,...
Gorde:
| Argitaratua izan da: | AMIA Annu Symp Proc |
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| Egile Nagusiak: | , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
American Medical Informatics Association
2015
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765614/ https://ncbi.nlm.nih.gov/pubmed/26958180 |
| Etiketak: |
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