Artificial intelligence to predict overall survivals of patients with cirrhosis and outcomes of variceal bleeding

BACKGROUND AND AIM: The ability to predict survival in cirrhosis is essential to management. Artificial intelligence models are promising alternatives to current scores and staging systems. The objective of this study was to test the feasibility of such a model to predict the short- and long-term su...

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Detalles Bibliográficos
Autores principales: Simsek, Cem, Sahin, Hasan, Emir Tekin, Ibrahim, Koray Sahin, Taha, Yasemin Balaban, Hatice, Sivri, Bulent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kare Publishing 2021
Materias:
Research Article - Machine learning in cirrhosis survival
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138923/
https://www.ncbi.nlm.nih.gov/pubmed/35783899
http://dx.doi.org/10.14744/hf.2021.2021.0016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138923/
https://www.ncbi.nlm.nih.gov/pubmed/35783899
http://dx.doi.org/10.14744/hf.2021.2021.0016

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