Cargando…
Predicting Short-term Survival after Liver Transplantation using Machine Learning
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...
Autores principales: | Liu, Chien-Liang, Soong, Ruey-Shyang, Lee, Wei-Chen, Jiang, Guo-Wei, Lin, Yun-Chun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101323/ https://www.ncbi.nlm.nih.gov/pubmed/32221367 http://dx.doi.org/10.1038/s41598-020-62387-z |
Ejemplares similares
-
Large Fragment Pre-S Deletion and High Viral Load Independently Predict Hepatitis B Relapse after Liver Transplantation
por: Wu, Ting-Jung, et al.
Publicado: (2012) -
Models to predict the short-term survival of acute-on-chronic liver failure patients following liver transplantation
por: Yang, Min, et al.
Publicado: (2022) -
Adult Living Donor Liver Transplantation Across ABO-Incompatibility
por: Lee, Chen-Fang, et al.
Publicado: (2015) -
Identifying Modifiable Predictors of Long‐Term Survival in Liver Transplant Recipients With Diabetes Mellitus Using Machine Learning
por: Yasodhara, Angeline, et al.
Publicado: (2021) -
Effects of Converting Tacrolimus Formulation from Twice-Daily to Once-Daily in Liver Transplantation Recipients
por: Thorat, Ashok, et al.
Publicado: (2014)