Cargando…
CODUSA - Customize Optimal Donor Using Simulated Annealing In Heart Transplantation
In heart transplantation, selection of an optimal recipient-donor match has been constrained by the lack of individualized prediction models. Here we developed a customized donor-matching model (CODUSA) for patients requiring heart transplantations, by combining simulated annealing and artificial ne...
Autores principales: | Ansari, Daniel, Andersson, Bodil, Ohlsson, Mattias, Höglund, Peter, Andersson, Roland, Nilsson, Johan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504818/ https://www.ncbi.nlm.nih.gov/pubmed/23722478 http://dx.doi.org/10.1038/srep01922 |
Ejemplares similares
-
Analysis of the Influence of HLA-A Matching Relative to HLA-B and -DR Matching on Heart Transplant Outcomes
por: Ansari, David, et al.
Publicado: (2015) -
Improving prediction of heart transplantation outcome using deep learning techniques
por: Medved, Dennis, et al.
Publicado: (2018) -
The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival
por: Nilsson, Johan, et al.
Publicado: (2015) -
Human Leukocyte Antigen‐Based Risk Stratification in Heart Transplant Recipients—Implications for Targeted Surveillance
por: Nilsson, Johan, et al.
Publicado: (2019) -
Comparison of Basiliximab and Anti‐Thymocyte Globulin as Induction Therapy in Pediatric Heart Transplantation: A Survival Analysis
por: Ansari, David, et al.
Publicado: (2015)