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Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data

Crossref DOI link: https://doi.org/10.1016/j.rpsmen.2022.09.005

Published Print: 2022-07

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Mar, Javier http://orcid.org/0000-0002-9455-4869
Gorostiza, Ania http://orcid.org/0000-0002-9747-5816
Arrospide, Arantzazu

Larrañaga, Igor http://orcid.org/0000-0001-9647-0514
Alberdi, Ane http://orcid.org/0000-0003-2754-0632
Cernuda, Carlos http://orcid.org/0000-0001-9241-4363
Iruin, Álvaro

Tainta, Mikel http://orcid.org/0000-0003-0624-1211
Mar-Barrutia, Lorea

Ibarrondo, Oliver http://orcid.org/0000-0003-3310-719X
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This article is maintained by: Elsevier

Article Title: Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data

Journal Title: Revista de Psiquiatría y Salud Mental (English Edition)

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.rpsmen.2022.09.005

Content Type: article

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