Predicting Short-term Survival after Liver Transplantation using Machine Learning
Predicting Short-term Survival after Liver Transplantation using Machine Learning
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Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Liver transplantation is one of the most effective treatments for end-stage liver disease, but the demand for livers is much higher than the available donor livers. Model for End-stage Liver Disease (MELD) score is a commonly used approach to prioritize patients, but previous studies have indicated that MELD score may fail to predict well for the p...
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Full title
Predicting Short-term Survival after Liver Transplantation using Machine Learning
Authors, Artists and Contributors
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7101323
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7101323
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-62387-z
