Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study

BACKGROUND: Early identification of dementia is crucial for prompt intervention for high-risk individuals in the general population. External validation studies on prognostic models for dementia have highlighted the need for updated models. The use of machine learning in dementia prediction is in it...

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Detalles Bibliográficos
Autores principales: Twait, Emma L., Andaur Navarro, Constanza L., Gudnason, Vilmunur, Hu, Yi-Han, Launer, Lenore J., Geerlings, Mirjam I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463542/
https://www.ncbi.nlm.nih.gov/pubmed/37641038
http://dx.doi.org/10.1186/s12911-023-02244-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463542/
https://www.ncbi.nlm.nih.gov/pubmed/37641038
http://dx.doi.org/10.1186/s12911-023-02244-x

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