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

Jihye Lim, Seungbong Han, Danbi Lee, Ju Hyun Shim, Kang Mo Kim, Young‐Suk Lim, Han Chu Lee, Dong Hwan Jung, Sung‐Gyu Lee, Ki‐Hun Kim, Jonggi Choi – 3 April 2022 – 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 by using various prediction models.

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Jennifer R. Kramer, Yamini Natarajan, Jianliang Dai, Xian Yu, Liang Li, Hashem B. El‐Serag, Fasiha Kanwal – 1 April 2022

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