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- Title
Markov model and meta-heuristics combined method for cost-effectiveness analysis.
- Authors
Wang, Xiuxian; Geng, Na; Qiu, Jianxin; Jiang, Zhibin; Zhou, Liping
- Abstract
Cost-effectiveness analysis is an important topic in public health, which can provide valuable information for medical decisions. Several modeling methods are available for conducting cost-effectiveness analysis. However, it is difficult when the data is incomplete. To solve this problem, a Markov model is proposed to model patients' health states transition, and two hybrid metaheuristics are proposed to estimate the transition probabilities. Based on the estimated transition probabilities, cost-effectiveness analysis is conducted to compare different medical interventions. Numerical experiments and case study validate the effectiveness and practicability of the proposed method. The case study gives the physicians effective instructions by comparing two different immunosuppressants after renal transplantation.
- Subjects
MARKOV processes; COST effectiveness; METAHEURISTIC algorithms; PROBABILITY theory
- Publication
Flexible Services & Manufacturing Journal, 2020, Vol 32, Issue 1, p213
- ISSN
1936-6582
- Publication type
Article
- DOI
10.1007/s10696-019-09369-0