Ontology highlight
ABSTRACT:
SUBMITTER: Ansari D
PROVIDER: S-EPMC6504818 | biostudies-other | 2013
REPOSITORIES: biostudies-other
Scientific reports 20130101
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 neural networks. Using this approach, by analyzing 59,698 adult heart transplant patients, we found that donor age matching was the variable most strongly associated with long-term survival. Female hear ...[more]