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Fig 1.

A, B and C; representative images of unresponsive cases, D, E and F; representative images of responsive cases with anthroponotic cutaneous leishmaniasis due to Leishmania tropica from a major focus, Kerman, southeast of Iran.

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Fig 1 Expand

Table 1.

Baseline features of unresponsive and responsive patients with anthroponotic cutaneous leishmaniasis.

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Table 1 Expand

Fig 2.

Structure of the multilayer perceptron with one hidden layer.

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Fig 2 Expand

Fig 3.

Overall procedures for modeling.

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Fig 3 Expand

Fig 4.

A, Learning vector quantization neural network ROC plot was prepared for unresponsive and responsive classes; B, Multipass learning vector quantization neural network ROC plot was prepared for unresponsive and responsive classes; C, Multilayer perceptron neural network ROC plot of unresponsive and responsive classes; D, Support vector machine ROC plot of unresponsive and responsive classes; E, K-nearest neighbors ROC plot of unresponsive and responsive classes.

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Fig 4 Expand

Fig 5.

A, Confusion matrix for learning vector quantization neural network representing the performance of the model; B, Confusion matrix for multipass learning vector quantization neural network representing the performance of the model; C, Confusion matrix for multilayer perceptron neural network representing the performance of the model; D, Confusion matrix for support vector machine representing the performance of the model; E, Confusion matrix for k-nearest neighbors representing the performance of the model.

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Fig 5 Expand

Table 2.

Classification results for the whole data.

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Table 2 Expand

Table 3.

Removing features in order to determine the effectiveness of each one.

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Table 3 Expand