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Evaluating the Predictive Power of Multivariate Tensor-based Morphometry in Alzheimers Disease Progression via Convex Fused Sparse Group Lasso
Prediction of Alzheimers disease (AD) progression based on baseline measures allows us to understand disease progression and has implications in decisions concerning treatment strategy. To this end we combine a predictive multi-task machine learning method(1) with novel MR-based multivariate morphom...
Tallennettuna:
| Päätekijät: | , , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2014
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4112760/ https://ncbi.nlm.nih.gov/pubmed/25076826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2042720 |
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