AIMC Topic: Tissue Donors

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Graft Rejection Prediction Following Kidney Transplantation Using Machine Learning Techniques: A Systematic Review and Meta-Analysis.

Studies in health technology and informatics Aug 21, 2019
Kidney transplantation is recommended for patients with End-Stage Renal Disease (ESRD). However, complications, such as graft rejection are hard to predict due to donor and recipient variability. This study discusses the role of machine learning (ML)...
Humans Machine Learning Graft Survival Graft Rejection Tissue Donors Kidney Transplantation
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Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Feb 1, 2018
In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based on artificial neural networks (ANNs) from a Spanish multicenter study (Model for Allocation of Donor and Recipient in España [MADR-E]). The aim is to ...
Male Middle Aged Adult ROC Curve Tissue Donors Time Factors Risk Assessment Female Computer Simulation Risk Factors Reproducibility of Results Algorithms Decision Support Techniques Neural Networks, Computer London Humans Area Under Curve Graft Survival Donor Selection Treatment Outcome Liver Diseases Waiting Lists Liver Transplantation
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Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation Apr 1, 2017
BACKGROUND: The ability to predict graft failure or primary nonfunction at liver transplant decision time assists utilization of scarce resource of donor livers, while ensuring that patients who are urgently requiring a liver transplant are prioritiz...
Tissue Donors ROC Curve Risk Factors Predictive Value of Tests Donor Selection Graft Survival Aged Adolescent Risk Assessment Reproducibility of Results Treatment Failure Time Factors Male Adult Machine Learning Middle Aged Victoria Humans Decision Support Techniques Liver Transplantation Young Adult Algorithms Female Databases, Factual Area Under Curve Patient Selection
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