Cargando…
What would other emergency stroke teams do? Using explainable machine learning to understand variation in thrombolysis practice
INTRODUCTION: The aim of this work was to understand between-hospital variation in thrombolysis use among emergency stroke admissions in England and Wales. PATIENTS: A total of 88,928 patients who arrived at all 132 emergency stroke hospitals in England Wales within 4 h of stroke onset, from 2016 to...
Autores principales: | Pearn, Kerry, Allen, Michael, Laws, Anna, Monks, Thomas, Everson, Richard, James, Martin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683721/ https://www.ncbi.nlm.nih.gov/pubmed/37480324 http://dx.doi.org/10.1177/23969873231189040 |
Ejemplares similares
-
Use of Clinical Pathway Simulation and Machine Learning to Identify Key Levers for Maximizing the Benefit of Intravenous Thrombolysis in Acute Stroke
por: Allen, Michael, et al.
Publicado: (2022) -
Can clinical audits be enhanced by pathway simulation and machine learning? An example from the acute stroke pathway
por: Allen, Michael, et al.
Publicado: (2019) -
Feasibility of a hyper-acute stroke unit model of care across England: a modelling analysis
por: Allen, Michael, et al.
Publicado: (2017) -
Faced with today's crisis, what would Gandhi do?
por: Bang, Abhay
Publicado: (2020) -
What Eugenics Would Accomplish
Publicado: (1912)