Identification of hepatic steatosis in living liver donors by machine learning models
Abstract 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...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Health/LWW
2022-07-01
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| Series: | Hepatology Communications |
| Online Access: | https://doi.org/10.1002/hep4.1921 |