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Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease

BACKGROUND: In a clinical setting, an individual subject classification model rather than a group analysis would be more informative. Specifically, the subtlety of cortical atrophy in some frontotemporal dementia (FTD) patients and overlapping patterns of atrophy among three FTD clinical syndromes i...

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Detalles Bibliográficos
Autores principales:	Kim, Jun Pyo, Kim, Jeonghun, Park, Yu Hyun, Park, Seong Beom, Lee, Jin San, Yoo, Sole, Kim, Eun-Joo, Kim, Hee Jin, Na, Duk L., Brown, Jesse A., Lockhart, Samuel N., Seo, Sang Won, Seong, Joon-Kyung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2019
Materias:	Regular Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458431/ https://www.ncbi.nlm.nih.gov/pubmed/30981204 http://dx.doi.org/10.1016/j.nicl.2019.101811

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