Design and Assessment of a Robust and Generalizable ANN-Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic Records

<div>Mean AUC values obtained for the test partitions for each classifier when computed over the 10 SMOTE datasets. Error bars represent the deviation between the different SMOTE datasets.</div>

Journal of Sensors

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Figure 6

Figure 6: Design and Assessment of a Robust and Generalizable ANN-Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic Records 

Figure 6 | Design and Assessment of a Robust and Generalizable ANN-Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic Records 