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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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Plan assessment metrics for dose painting in stereotactic radiosurgery
PURPOSE As radiotherapy treatment precision increases with advancements in imaging and radiation delivery, dose painting treatment …
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Spatio-temporal clustering of multi-location time series to model seasonal influenza spread
Although seasonal influenza disease spread is a spatio-temporal phenomenon, public surveillance systems aggregate data only spatially, …
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The complexity of transferring remote monitoring and virtual care technology between countries: lessons from an international workshop
International deployment of remote monitoring and virtual care (RMVC) technologies would efficiently harness their positive impact on …
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SuPART: supervised projective adapted resonance theory for automatic quality assurance approval of radiotherapy treatment plans
Radiotherapy is a common treatment modality for the treatment of cancer, where treatments must be carefully designed to deliver …
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Understanding machine learning classifier decisions in automated radiotherapy quality assurance
The complexity of generating radiotherapy treatments demands a rigorous quality assurance (QA) process to ensure patient safety and to …
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Logic-based benders decomposition and binary decision diagram based approaches for stochastic distributed operating room scheduling
The distributed operating room (OR) scheduling problem aims to find an assignment of surgeries to ORs across collaborating hospitals …
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Increased surgical capacity without additional resources: Generalized operating room planning and scheduling
We study a generalized operating room planning and scheduling (GORPS) problem at the Toronto General Hospital (TGH) in Ontario, Canada. …
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Branch-and-check methods for multi-level operating room planning and scheduling
We develop the first exact decomposition approaches for a multi-level operating room planning and scheduling problem that integrates …
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