Predicting post–liver transplant outcomes in patients with acute-on-chronic liver failure using Expert-Augmented Machine Learning

Ge, Jin; Digitale, Jean C.; Fenton, Cynthia; McCulloch, Charles E.; Lai, Jennifer C.; Pletcher, Mark J.; Gennatas, Efstathios D.

doi:10.1016/j.ajt.2023.08.022

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Predicting post–liver transplant outcomes in patients with acute-on-chronic liver failure using Expert-Augmented Machine Learning

Cited by 6 publications

References 47 publications

From prognostication to therapeutics: Four key questions to accelerate the development of therapeutics for patients with acute-on-chronic liver failure

From prognostication to therapeutics: Four key questions to accelerate the development of therapeutics for patients with acute-on-chronic liver failure

Common definitions and variables are needed for the United States to join the conversation on acute-on-chronic liver failure

Generalizability of kidney transplant data in electronic health records — The Epic Cosmos database vs the Scientific Registry of Transplant Recipients

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