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Following a review of the detector principle and performance, the method used to make these calculations, as well as the results, is detailed.
Thus decoupling the EOS from the runtime performance, the method allows the application of accurate high quality EOS or tabulated data without runtime penalty.
Despite its good performance, the method has some limitations.
For the sake of performance, the method is implemented by MapReduce operations.
In comparison with techniques of assessing organization performance, the method of DEA proposed by Charnes et al. (1978) is a better way to organize and analyze data because it allows efficiency to change over time and requires no prior assumption on the specification of the efficient frontier.
To assess its performance, the method was tested on four data sets, each with distinct properties.
Similar(53)
Performance: The methods utilized were required to have satisfactory sensitivity and specificity.
The AUC statistic reflects the performance of the method overall and the AUC50 statistic reflects the performance of the method at high specificity.
Therefore, the performance of the method for 20% edge swapping is quite similar to the performance of the method with the original network.
The performance of the proposed method was assessed using simulations, and a few clinical cases were used to illustrate the performance of the method and different normalizations.
The performance of the method was evaluated.
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