Machine Learning Model Validated to Predict Outcomes of Liver Transplantation Recipients with Hepatitis C: The Romanian National Transplant Agency Cohort Experience

Background and Objectives: In the early period after liver transplantation, patients are exposed to a high rate of complications and several scores are currently available to predict adverse postoperative outcomes. However, an ideal, universally accepted and validated score to predict adverse events...

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Detalles Bibliográficos
Autores principales: Zabara, Mihai Lucian, Popescu, Irinel, Burlacu, Alexandru, Geman, Oana, Dabija, Radu Adrian Crisan, Popa, Iolanda Valentina, Lupascu, Cristian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961494/
https://www.ncbi.nlm.nih.gov/pubmed/36850756
http://dx.doi.org/10.3390/s23042149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961494/
https://www.ncbi.nlm.nih.gov/pubmed/36850756
http://dx.doi.org/10.3390/s23042149

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