Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta‐analysis

BACKGROUND: Machine learning (ML) models are promising tools for predicting adverse postoperative outcomes in cardiac surgery, yet have not translated to routine clinical use. We conducted a systematic review and meta‐analysis to assess the predictive performance of ML approaches. METHODS: We conduc...

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Detalles Bibliográficos
Autores principales: Penny‐Dimri, Jahan C., Bergmeir, Christoph, Perry, Luke, Hayes, Linley, Bellomo, Rinaldo, Smith, Julian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804388/
https://www.ncbi.nlm.nih.gov/pubmed/36001761
http://dx.doi.org/10.1111/jocs.16842

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804388/
https://www.ncbi.nlm.nih.gov/pubmed/36001761
http://dx.doi.org/10.1111/jocs.16842

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