Machine Learning for Liver Transplant Survival Benefit Estimation

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This research presentation delves into the comparative advantages of Living Donor Liver Transplantation (LDLT) versus Deceased Donor Liver Transplantation (DDLT). Employing a Dynamic Propensity Score Matching (DPSM) algorithm, the study simulates a retrospective Randomized Controlled Trial (RCT) to estimate personalized survival outcomes. By integrating methods like Random Forests (RF) for confounding control and Random Survival Forests (RSF) for survival analysis, the findings indicate...