Development of a Late-Life Dementia Prediction Index with Supervised Machine Learning in the Population-Based CAIDE Study

Background and objective: This study aimed to develop a late-life dementia prediction model using a novel validated supervised machine learning method, the Disease State Index (DSI), in the Finnish population-based CAIDE study. Methods: The CAIDE study was based on previous population-based midlife...

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Detalles Bibliográficos
Autores principales: Pekkala, Timo, Hall, Anette, Lötjönen, Jyrki, Mattila, Jussi, Soininen, Hilkka, Ngandu, Tiia, Laatikainen, Tiina, Kivipelto, Miia, Solomon, Alina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5147511/
https://www.ncbi.nlm.nih.gov/pubmed/27802228
http://dx.doi.org/10.3233/JAD-160560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5147511/
https://www.ncbi.nlm.nih.gov/pubmed/27802228
http://dx.doi.org/10.3233/JAD-160560

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