Organ transplants

A branch-and-price algorithm enhanced by decision diagrams for the kidney exchange problem
Problem definition: Kidney paired donation programs allow patients registered with an incompatible donor to receive a suitable kidney …
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Machine learning for the prediction of survival post-allogeneic hematopoietic cell transplantation: A single-center experience
Introduction: Prediction of outcomes following allogeneic hematopoietic cell transplantation (HCT) remains a major challenge. Machine …
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A feasibility look to two-stage robust optimization in kidney exchange
Kidney paired donation programs (KPDPs) are an alternative for patients whose non-ideal donors are willing to donate a kidney to …
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Transplant matching and survival prediction
Matching pools of kidney patients to eligible donors and predicting survival of bone marrow and liver transplants using machine learning
A branch-and-price algorithm enhanced by decision diagrams for the kidney exchange problem
Kidney paired donation programs allow patients registered with an incompatible donor to receive a suitable kidney from another donor, …
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Data mining in bone marrow transplant records to identify patients with high odds of survival
Patients undergoing a bone marrow stem cell transplant (BMT) face various risk factors. Analyzing data from past transplants could …
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Applying collaborative filtering techniques to data mining in bone marrow transplant records
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