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Longitudinal clinical score prediction in Alzheimer’s disease with soft-split sparse regression based random forest
Alzheimer’s disease (AD) is an irreversible neurodegenerative disease and affects a large population in the world. Cognitive scores at multiple time points can be reliably used to evaluate the progression of the disease clinically. In recent studies, machine learning techniques have shown promising...
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| Publicado no: | Neurobiol Aging |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5152677/ https://ncbi.nlm.nih.gov/pubmed/27500865 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neurobiolaging.2016.07.005 |
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