Identification of hepatic steatosis in living liver donors by machine learning models

Selecting an optimal donor for living donor liver transplantation is crucial for the safety of both the donor and recipient, and hepatic steatosis is an important consideration. We aimed to build a prediction model with noninvasive variables to evaluate macrovesicular steatosis in potential donors b...

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Detalles Bibliográficos
Autores principales: Lim, Jihye, Han, Seungbong, Lee, Danbi, Shim, Ju Hyun, Kim, Kang Mo, Lim, Young‐Suk, Lee, Han Chu, Jung, Dong Hwan, Lee, Sung‐Gyu, Kim, Ki‐Hun, Choi, Jonggi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234640/
https://www.ncbi.nlm.nih.gov/pubmed/35377548
http://dx.doi.org/10.1002/hep4.1921

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234640/
https://www.ncbi.nlm.nih.gov/pubmed/35377548
http://dx.doi.org/10.1002/hep4.1921

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