Dynamic Programming Optimization Model of End-Stage Renal Disease

摘要

The principal treatments for end stage renal disease (ESRD) are hemodialysis, peritoneal dialysis, and kidney transplantation, all of which have both advantages and disadvantages. The paper firstly quantifies ESRD patients' pretreatment quality of life. Then, by using a series of state transition equations, it predicts patients' values of health-related quality of life (HRQoL) after they follow different treatment plans. Eventually, a dynamic programming model is established to determine the most cost-effective decision scheme.