Joint screening strategy optimization for heterogeneous patients with colorectal cancer
This paper investigates optimizing the combined screening strategy with resource constraints.First,the problem is formulated as a Markov decision process(MDP)model that jointly determines the colonoscopy exam decisions for multi-category patients with different risk profiles of colorectal cancer.Then,for computa-tional efficiency,this study proposes an approximate model based on mixed integer programming(MIP),which can efficiently solve large-scale problem instances.The analysis in this paper explores the screening strategies and evaluates their performance under varying resource levels and population characteristics.Numerical results show that the joint screening strategy significantly outperforms the individual screening strategy in terms of the expected quality-adjusted life year improved by 1.84％.Moreover,increasing improvements are observed as the resource limitations become more severe,the disease intensity worsens,and the percentage of men and older patients in the population increases.
cancer screeningjoint screening strategyMarkov decision processmixed integer programming
万方数据
维普
