Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data.

Journal: Journal of Alzheimer's disease : JAD

Published Date: Jan 1, 2020

BACKGROUND: Neuropsychiatric symptoms (NPS) are the leading cause of the social burden of dementia but their role is underestimated.

Javier Mar

Basque Health Service (Osakidetza), Debagoiena Integrated Healthcare Organisation, Research Unit, Arrasate-Mondragón, Guipúzcoa, Spain.
Ania Gorostiza

Basque Health Service (Osakidetza), Debagoiena Integrated Healthcare Organisation, Research Unit, Arrasate-Mondragón, Guipúzcoa, Spain.
Oliver Ibarrondo

Basque Health Service (Osakidetza), Debagoiena Integrated Healthcare Organisation, Research Unit, Arrasate-Mondragón, Guipúzcoa, Spain.
Carlos Cernuda

Mondragon Unibertsitatea, Faculty of Engineering, Electronics and Computing Department, Arrasate-Mondragon, Gipuzkoa, Spain.
Arantzazu Arrospide

Basque Health Service (Osakidetza), Debagoiena Integrated Healthcare Organisation, Research Unit, Arrasate-Mondragón, Guipúzcoa, Spain.
Álvaro Iruin

Biodonostia Health Research Institute, Donostia-San Sebastán, Guipúzcoa, Spain.
Igor Larrañaga

Basque Health Service (Osakidetza), Debagoiena Integrated Healthcare Organisation, Research Unit, Arrasate-Mondragón, Guipúzcoa, Spain.
Mikel Tainta

Kronikgune Institute for Health Service Research, Barakaldo, Spain.
Enaitz Ezpeleta

Mondragon Unibertsitatea, Faculty of Engineering, Electronics and Computing Department, Arrasate-Mondragon, Gipuzkoa, Spain.
Ane Alberdi

Mondragon Unibertsitatea, Faculty of Engineering, Electronics and Computing Department, Arrasate-Mondragon, Gipuzkoa, Spain.

Aged Aged, 80 and over Data Analysis Databases, Factual Dementia Electronic Health Records Female Forecasting Humans Machine Learning Male Mental Disorders Reproducibility of Results Retrospective Studies

View on PubMed Access via DOI PubMed (32741825)