A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures

Background: Despite the increasing availability in brain health related data, clinically translatable methods to predict the conversion from Mild Cognitive Impairment (MCI) to Alzheimer's disease (AD) are still lacking. Although MCI typically precedes AD, only a fraction of 20–40% of MCI indivi...

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Detalles Bibliográficos
Autores principales: Grassi, Massimiliano, Rouleaux, Nadine, Caldirola, Daniela, Loewenstein, David, Schruers, Koen, Perna, Giampaolo, Dumontier, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646724/
https://www.ncbi.nlm.nih.gov/pubmed/31379711
http://dx.doi.org/10.3389/fneur.2019.00756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646724/
https://www.ncbi.nlm.nih.gov/pubmed/31379711
http://dx.doi.org/10.3389/fneur.2019.00756

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