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In Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society

Machine learning refers to the development of automated systems that learn from large, heterogenous datasets and subsequently identify patterns and make predictions(1). This technology clearly provides scientific data, but under the veneer of technology. There is great promise in the application of these methods to the practice of hepatology and liver transplantation and Yasodhara et al in this issue, aptly illustrate this.

Khan Mohammad Qasim, Watt Kymberly D


cardiovascular disease, diabetes, kidney disease, liver transplant, mortality, outcomes, survival