Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers

Recent work has indicated the potential utility of automated language analysis for the detection of mild cognitive impairment (MCI). Most studies combining language processing and machine learning for the prediction of MCI focus on a single language task; here, we consider a cascaded approach to com...

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Detalles Bibliográficos
Autores principales: Fraser, Kathleen C., Lundholm Fors, Kristina, Eckerström, Marie, Öhman, Fredrik, Kokkinakis, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688130/
https://www.ncbi.nlm.nih.gov/pubmed/31427959
http://dx.doi.org/10.3389/fnagi.2019.00205

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688130/
https://www.ncbi.nlm.nih.gov/pubmed/31427959
http://dx.doi.org/10.3389/fnagi.2019.00205

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