AIMC Topic: Donor Selection

Clear Filters Showing 11 to 14 of 14 articles

Machine-learning algorithms for predicting results in liver transplantation: the problem of donor-recipient matching.

Current opinion in organ transplantation Aug 1, 2020
PURPOSE OF REVIEW: Classifiers based on artificial intelligence can be useful to solve decision problems related to the inclusion or removal of possible liver transplant candidates, and assisting in the heterogeneous field of donor-recipient (D-R) ma...
Prognosis Risk Factors Neural Networks, Computer Machine Learning Liver Transplantation Tissue and Organ Procurement Donor Selection Tissue Donors Graft Survival Humans
View on PubMed DOI

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 ...
Adult Male Reproducibility of Results Risk Factors Time Factors ROC Curve Tissue Donors Middle Aged Risk Assessment Algorithms Decision Support Techniques Computer Simulation Female Humans Neural Networks, Computer Waiting Lists Liver Diseases London Donor Selection Area Under Curve Liver Transplantation Graft Survival Treatment Outcome
View on PubMed DOI

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...
Donor Selection Victoria Adult Male Risk Assessment Adolescent Middle Aged Aged Young Adult Reproducibility of Results Risk Factors Predictive Value of Tests Area Under Curve Patient Selection Treatment Failure Liver Transplantation Tissue Donors Graft Survival Time Factors ROC Curve Humans Decision Support Techniques Databases, Factual Female Machine Learning Algorithms
View on PubMed DOI

Implementation of a User-Friendly, Flexible Expert System for Selecting Optimal Set of Kidney Exchange Combinations of Patients in a Transplantation Center.

Transplantation proceedings Jun 1, 2015
INTRODUCTION: For end-stage renal disease patients, kidney transplantation is the only long-term solution. The number of deceased donors is limited. Living kidney donation is subject to strict regulations, limiting possible donors only to the extende...
Nephrectomy Expert Systems Donor Selection Kidney Failure, Chronic Patient Selection Tissue and Organ Procurement Turkey Decision Support Systems, Clinical Living Donors Humans Kidney Transplantation
View on PubMed DOI
Popular Topics
Recent Journals