A machine learning model for prediction of 30-day primary graft failure after heart transplantation

BACKGROUND: Primary graft failure (PGF) remains the most common cause of short-term mortality after heart transplantation. The main objective was to develop and validate a risk model for prediction of short-term mortality due to PGF after heart transplantation using the ISHLT Heart Transplant Regist...

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Detalles Bibliográficos
Autores principales: Linse, Björn, Ohlsson, Mattias, Stehlik, Joseph, Lund, Lars H., Andersson, Bodil, Nilsson, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015245/
https://www.ncbi.nlm.nih.gov/pubmed/36938431
http://dx.doi.org/10.1016/j.heliyon.2023.e14282

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015245/
https://www.ncbi.nlm.nih.gov/pubmed/36938431
http://dx.doi.org/10.1016/j.heliyon.2023.e14282

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