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Classification-augmented survival estimation (CASE): A novel method for individualized long-term survival prediction with application to liver transplantation
Survival analysis is critical in many fields, particularly in healthcare where it can guide medical decisions. Conventional survival …
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Differential impact of CD34+ cell dose for different age groups in allogeneic hematopoietic cell transplantation for acute leukemia: a machine learning-based discovery
Allogeneic hematopoietic cell transplantation (allo-HCT) presents a potentially curative treatment for hematologic malignancies yet …
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From Patient Voices to Policy: Data Analytics Reveals Patterns in Ontario's Hospital Feedback
Patient satisfaction is a central measure of high-performing healthcare systems, yet real-world evaluations at scale remain …
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Inverse Planning for Radiofrequency Ablation in Cancer Therapy Using Multiple Damage Models
Radiofrequency ablation (RFA) offers localized and minimally invasive treatment of small-to-medium sized inoperable tumors. In RFA, …
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Physical dose validation of dynamic treatment for Gamma Knife radiosurgery
Background: Dynamic treatment in Gamma Knife (GK) radiosurgery systems delivers radiation continuously with couch movement, as opposed …
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Referral patterns for common surgical procedures in Ontario: a cross-sectional population-level study
Background: Little is known about the existing structure and function of referral networks in the prevalent referral system for …
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Surgeon- and hospital-level variation in wait times for scheduled non-urgent surgery in Ontario, Canada: A cross-sectional population-based study
Background Canadian health systems fare poorly in providing timely access to elective surgical care, which is crucial for quality, …
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Treatment Planning Methods for Dose Painting by Numbers Treatment in Gamma Knife Radiosurgery
Purpose: Dose painting radiation therapy delivers a nonuniform dose to tumors to account for heterogeneous radiosensitivity. With …
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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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