Identifying Dynamic Patterns of Polypharmacy for Patients with Dementia from Primary Care Electronic Health Records: A Machine Learning Driven Longitudinal Study.

Longo, Elisabetta; Burnett, Bruce; Bauermeister, Sarah; Zhou, Shang-Ming

Longo, Elisabetta; Burnett, Bruce; Bauermeister, Sarah; Zhou, Shang-Ming.

Afiliación

Longo E; 1The Aptuit, an Evotec company, Via Alessandro Fleming 4, 37135 Verona, Italy.
Burnett B; 2The Institute of Life Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
Bauermeister S; 3Dementias Platform UK, Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK.
Zhou SM; 4The Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK.

Aging Dis ; 14(2): 548-559, 2023 Apr 01.

Article en En | MEDLINE | ID: mdl-37008054

Palabras clave

dementia; diagnosis; electronic health records; exploratory factor analysis; machine learning; patient safety; polypharmacy

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Aging Dis Año: 2023 Tipo del documento: Article País de afiliación: Italia

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