Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort study

OBJECTIVE: To predict older adults’ risk of avoidable hospitalisation related to ambulatory care sensitive conditions (ACSC) using machine learning applied to administrative health data of Ontario, Canada. DESIGN, SETTING AND PARTICIPANTS: A retrospective cohort study was conducted on a large cohort...

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Detalles Bibliográficos
Autores principales: Yi, Seung Eun, Harish, Vinyas, Gutierrez, Jahir, Ravaut, Mathieu, Kornas, Kathy, Watson, Tristan, Poutanen, Tomi, Ghassemi, Marzyeh, Volkovs, Maksims, Rosella, Laura C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977821/
https://www.ncbi.nlm.nih.gov/pubmed/35365510
http://dx.doi.org/10.1136/bmjopen-2021-051403

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977821/
https://www.ncbi.nlm.nih.gov/pubmed/35365510
http://dx.doi.org/10.1136/bmjopen-2021-051403

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