Predicting falls-related admissions in older adults in Alberta, Canada: a machine-learning falls prevention tool developed using population administrative health data

OBJECTIVE: To construct a machine-learning (ML) model for health systems with organised falls prevention programmes to identify older adults at risk for fall-related admissions. DESIGN: This prognostic study used population-level administrative health data to develop an ML prediction model. SETTING:...

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Detalles Bibliográficos
Autores principales: Sharma, Vishal, Kulkarni, Vinaykumar, Joon, Tanya, Eurich, Dean T, Simpson, Scot H, Voaklander, Don, Wright, Bruce, Samanani, Salim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445355/
https://www.ncbi.nlm.nih.gov/pubmed/37607796
http://dx.doi.org/10.1136/bmjopen-2022-071321

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445355/
https://www.ncbi.nlm.nih.gov/pubmed/37607796
http://dx.doi.org/10.1136/bmjopen-2022-071321

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