Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the leading indications for liver transplantation (LT) however, selection criteria remain controversial. We aimed to identify survival factors and predictors for tumour recurrence using machine learning (ML) methods. We also compared ML models to...

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Detalles Bibliográficos
Autores principales: Bezjak, Miran, Kocman, Branislav, Jadrijević, Stipislav, Filipec Kanižaj, Tajana, Antonijević, Miro, Dalbelo Bašić, Bojana, Mikulić, Danko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477658/
https://www.ncbi.nlm.nih.gov/pubmed/37675331
http://dx.doi.org/10.21037/atm-22-6469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477658/
https://www.ncbi.nlm.nih.gov/pubmed/37675331
http://dx.doi.org/10.21037/atm-22-6469

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