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

Twait, Emma L; Andaur Navarro, Constanza L; Gudnason, Vilmunur; Hu, Yi-Han; Launer, Lenore J; Geerlings, Mirjam I

Twait, Emma L; Andaur Navarro, Constanza L; Gudnason, Vilmunur; Hu, Yi-Han; Launer, Lenore J; Geerlings, Mirjam I.

Affiliation

Twait EL; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands.
Andaur Navarro CL; Department of General Practice, Amsterdam UMC, location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
Gudnason V; Amsterdam Public Health, Aging & Later life and Personalized Medicine, Amsterdam, the Netherlands.
Hu YH; Amsterdam Neuroscience, Neurodegeneration and Mood, Anxiety, Psychosis, Stress, and Sleep, Amsterdam, the Netherlands.
Launer LJ; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands.
Geerlings MI; Faculty of Medicine, University of Iceland, Reykjavik, Iceland.

BMC Med Inform Decis Mak ; 23(1): 168, 2023 08 28.

Article in En | MEDLINE | ID: mdl-37641038

Subject(s)
Key words

Dementia; Machine learning; Prediction model

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Dementia / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male Language: En Journal: BMC Med Inform Decis Mak Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: Países Bajos Country of publication: Reino Unido

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