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A decision tree analytic cost model was developed, primarily based on data from peer-reviewed literature.
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A decision-analytic model, combining a decision tree structure in the first year and a Markov structure in later years, was constructed to evaluate the benefits and costs associated with palivizumab versus no prophylaxis among children with CHD.
Eight of the voriconazole pharmacoeconomic studies used a decision analytic model such as a decision tree or Markov Model to estimate the expected costs and outcomes of therapy.
Based on clinical data derived from the PLATO study, a two-part decision-analytic model, comprising a 1-year decision tree and a long-term Markov model, was adapted to estimate lifetime costs as well as health outcomes.
A suite of data analytic methods from Scikit-learn [ 16]; such as decision tree [ 17], support vector machine (SVM) [ 18], and random forest [ 19] were applied in addition to associative mining.
We developed a decision analytic model (the particular model used in this paper is a decision tree) to estimate the costs and QALYs of a population of patients attending an emergency department with acute chest pain.
A decision-analytic model was developed in Microsoft Excel 2016, combining a decision tree structure for the first year (see Fig. 1) and a Markov structure for subsequent years (annual cycles, please see Fig. 2).
Six decision tree models were customized with country-specific estimates from a clinical management analysis, meta-analytic rates from two published meta-analyses, and a resource valuation of treatment costs representing the inpatient and outpatient settings within each country.
The Chinese censorship decision tree.
Accordingly, single decision tree (SDT), decision tree forest (DTF), and decision treeboost (DTB) models were constructed.
phonetic decision tree.
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