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DES methods are more efficient in using attributes, in our case the NYHA classification of the virtual patients.
For following references in this paper with respect to this method the main distinction of the individual sampling method and DES methods is defined as the use of fixed cycle lengths.
This plot indicate that the TMM, UQ, and DES methods outperform the two other methods with respect to classification performance.
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Figure 4 shows the results of Fr estimation using the ANFIS and ANFIS-DE methods.
Both ANFIS and ANFIS-DE methods in Model 4 estimate with less than 10% relative error, but ANFIS showed an insignificantly greater relative error.
The scatterplot of the ANFIS-DE method for various input combinations is shown in Fig. 7.
This figure indicates that the ANFIS-DE method with R2 of 0.8488 performs significantly better than Eqs.
In addition, the ANFIS-DE method exhibits close performance when using the first and second input combinations.
The 2-DE method is a primary technique regularly used in proteomic investigations [ 15].
The 2-DE method was only performed at CAAS and NARO.
The proteins extracted from pooled cervical mucous samples were first separated by 2-DE method (Fig. 1a).
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