2019
DOI: 10.1007/s10696-019-09369-0
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Markov model and meta-heuristics combined method for cost-effectiveness analysis

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Cited by 1 publication
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“…The algorithm is tested by comparing the solutions of the genetic algorithm and standard software with a real-world situation of a German training hospital. Wang et al (2020) propose a combined approach for conducting cost-effectiveness analysis aiming at supporting medical decisions. Specifically, a Markov model is proposed to represent patients' health state transitions, and two hybrid metaheuristics estimate the transition probabilities.…”
mentioning
confidence: 99%
“…The algorithm is tested by comparing the solutions of the genetic algorithm and standard software with a real-world situation of a German training hospital. Wang et al (2020) propose a combined approach for conducting cost-effectiveness analysis aiming at supporting medical decisions. Specifically, a Markov model is proposed to represent patients' health state transitions, and two hybrid metaheuristics estimate the transition probabilities.…”
mentioning
confidence: 99%