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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...
Autores principales: | Simsek, Cem, Sahin, Hasan, Emir Tekin, Ibrahim, Koray Sahin, Taha, Yasemin Balaban, Hatice, Sivri, Bulent |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Kare Publishing
2021
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Materias: | |
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 |
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