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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 of...

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Bibliografische Detailangaben
Hauptverfasser: Laura C Rosella, Kathy Kornas, Tristan Watson, Jahir Gutierrez, Marzyeh Ghassemi, Seung Eun Yi, Vinyas Harish, Mathieu Ravaut, Tomi Poutanen, Maksims Volkovs
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMJ Publishing Group 2022-04-01
Schriftenreihe:BMJ Open
Online-Zugang:https://bmjopen.bmj.com/content/12/4/e051403.full
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