A novel Artificial Intelligence-based tool to assess anticholinergic burden: a survey.

Secchi, Agostina; Mamayusupova, Hulkar; Sami, Saber; Maidment, Ian; Coulton, Simon; Myint, Phyo Kyaw; Fox, Chris

Secchi, Agostina; Mamayusupova, Hulkar; Sami, Saber; Maidment, Ian; Coulton, Simon; Myint, Phyo Kyaw; Fox, Chris.

Afiliación

Secchi A; Kent and Medway NHS and Social Care Partnership Trust.
Mamayusupova H; AKFA University Medical School, Uzbekistan.
Sami S; University of Essex, CO4 3SQ, UK.
Maidment I; University of East Anglia, Norwich, NR4 7TJ, UK.
Coulton S; Aston University, Aston St, Birmingham B4 7ET, UK.
Myint PK; University of Kent, Giles Ln, Canterbury CT2 7NZ, UK.
Fox C; Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, UK.

Age Ageing ; 51(8)2022 08 02.

Article en En | MEDLINE | ID: mdl-36029230

Asunto(s)

Antagonistas Colinérgicos; Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos; Inteligencia Artificial; Humanos

Palabras clave

adverse events; anticholinergic; older people; polypharmacy

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Antagonistas Colinérgicos / Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Age Ageing Año: 2022 Tipo del documento: Article

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