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markov model and meta-heuristics combined method for cost-effectiveness analysis
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نویسنده
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wang xiuxian ,geng na ,qiu jianxin ,jiang zhibin ,zhou liping
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منبع
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flexible services and manufacturing journal - 2020 - دوره : 32 - شماره : 1 - صفحه:213 -235
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چکیده
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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.
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کلیدواژه
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cost-effectiveness analysis ,markov model ,meta-heuristics ,renal transplantation ,transition probability
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آدرس
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shanghai jiao tong university, department of industrial engineering and management, china, shanghai jiao tong university, sino-us global logistics institute, china, shanghai jiao tong university, shanghai general hospital, department of urology, china, shanghai jiao tong university, antai college of economics and management, people’s republic of china, shanghai jiao tong university, department of industrial engineering and management, china
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Authors
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