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Revista de Psiquiatría y Salud Mental - Journal of Psychiatry and Mental Health
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Original article
Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data
Estimación de la epidemiología de la demencia y los síntomas neuropsiquiátricos asociados, mediante la aplicación del aprendizaje automático a los datos del mundo real
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Javier Mara,b,c,d,
Autor para correspondencia
javier.marmedina@osakidetza.eus

Corresponding author.
, Ania Gorostizaa,b, Arantzazu Arrospidea,b,c,d, Igor Larrañagaa,b, Ane Alberdie, Carlos Cernudae, Álvaro Iruinf,c, Mikel Taintag,h, Lorea Mar-Barrutiai, Oliver Ibarrondoa,c,j
a Basque Health Service (Osakidetza), Debagoiena Integrated Healthcare Organisation, Research Unit, Arrasate-Mondragón, Gipuzkoa, Spain
b Kronikgune Institute for Health Service Research, Barakaldo, Bizkaia, Spain
c Biodonostia Health Research Institute, Donostia-San Sebastián, Gipuzkoa, Spain
d Health Services Research on Chronic Patients Network (REDISSEC), Bilbao, Bizkaia, Spain
e Mondragon Unibertsitatea, Faculty of Engineering, Electronics and Computing Department, Arrasate-Mondragón, Gipuzkoa, Spain
f Basque Health Service (Osakidetza), Gipuzkoa Mental Health Network, Donostia-San Sebastián, Gipuzkoa, Spain
g Basque Health Service (Osakidetza), Goierri-Urola Garaia Integrated Healthcare Organisation, Department of Neurology, Zumarraga, Gipuzkoa, Spain
h Fundación CITA-Alzheimer Fundazioa, Donostia-San Sebastián, Gipuzkoa, Spain
i Psiquiatry Service, Hospital Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
j RS-Statistics, Arrasate-Mondragón, Gipuzkoa, Spain

Artículo

This article is available in English

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

Javier Mar, Ania Gorostiza, Arantzazu Arrospide, Igor Larrañaga, Ane Alberdi, Carlos Cernuda, Álvaro Iruin, Mikel Tainta, Lorea Mar-Barrutia, Oliver Ibarrondo
10.1016/j.rpsm.2021.03.001
Rev Psiquiatr Salud Ment. 2022;15:167-75
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