Cargando…
Cardiac surgery risk prediction using ensemble machine learning to incorporate legacy risk scores: A benchmarking study
OBJECTIVE: The introduction of new clinical risk scores (e.g. European System for Cardiac Operative Risk Evaluation (EuroSCORE) II) superseding original scores (e.g. EuroSCORE I) with different variable sets typically result in disparate datasets due to high levels of missingness for new score varia...
Autores principales: | Dong, Tim, Sinha, Shubhra, Zhai, Ben, Fudulu, Daniel P, Chan, Jeremy, Narayan, Pradeep, Judge, Andy, Caputo, Massimo, Dimagli, Arnaldo, Benedetto, Umberto, Angelini, Gianni D |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363892/ https://www.ncbi.nlm.nih.gov/pubmed/37492033 http://dx.doi.org/10.1177/20552076231187605 |
Ejemplares similares
-
Weekday and outcomes of elective cardiac surgery in the UK: a large retrospective database analysis
por: Fudulu, Daniel Paul, et al.
Publicado: (2022) -
Deep recurrent reinforced learning model to compare the efficacy of targeted local versus national measures on the spread of COVID-19 in the UK
por: Dong, Tim, et al.
Publicado: (2022) -
Trend and early outcomes in isolated surgical aortic valve replacement in the United Kingdom
por: Chan, Jeremy, et al.
Publicado: (2023) -
The impact of surgical training on early and long-term outcomes after isolated aortic valve surgery
por: Dimagli, Arnaldo, et al.
Publicado: (2021) -
Females have an increased risk of short‐term mortality after cardiac surgery compared to males: Insights from a national database
por: Dixon, Lauren Kari, et al.
Publicado: (2022)