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Subsequently, Mio et al. [12] used a decision tree to analyze the severity of traffic accidents.
The authors used a decision support system to identify compliance similarities and differences.
This study used a decision tree to modify the ASS and to prioritize the variables.
They successfully used a decision gradient function from RF or SVM models to identify the most significant descriptor for a prediction.
13 studies used a decision tree approach, 25 studies Markov-modeling, 13 studies an individual sampling method (ISM) and the DES-technique was applied seven times.
These results are lower compared to those obtained in [20] where the error rate was less than 1 %; however, they used a decision fusion of five words at the same time.
Similar(19)
We used a decision-analytic approach to score projects based on the value of staff time investment, and then identified an optimal decision rule for how scored projects would be allocated across bins, where projects in different bins received different time investments.
Muller et al. [14] used a decision-theoretic approach and a hierarchical Bayes model.
Similar to a previous anti-viral study performed in Singapore [5], this study used a decision-analysis model (Figure 1) to perform cost-benefit and cost-effectiveness assessments for pandemic vaccination in Singapore.
The study used a decision-tree analysis that comprised five strategies (see Fig. 1).
For example, in Che et al., the authors used a decision-tree model to estimate the impact of PCV7 in Chinese infants [ 40].
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