Improving prediction of heart transplantation outcome using deep learning techniques

The primary objective of this study is to compare the accuracy of two risk models, International Heart Transplantation Survival Algorithm (IHTSA), developed using deep learning technique, and Index for Mortality Prediction After Cardiac Transplantation (IMPACT), to predict survival after heart trans...

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Detalles Bibliográficos
Autores principales: Medved, Dennis, Ohlsson, Mattias, Höglund, Peter, Andersson, Bodil, Nugues, Pierre, Nilsson, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827028/
https://www.ncbi.nlm.nih.gov/pubmed/29483521
http://dx.doi.org/10.1038/s41598-018-21417-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827028/
https://www.ncbi.nlm.nih.gov/pubmed/29483521
http://dx.doi.org/10.1038/s41598-018-21417-7

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