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Fig. 1 | BioMedical Engineering OnLine

Fig. 1

From: Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid–structure interaction models and machine learning methods with patient follow-up data: a feasibility study

Fig. 1

ROC obtained by optimal single-factor predictors and machine learning method with best performance for prediction of three morphological indices. a ROC of wall thickness predictor using SVM for ΔLPI prediction. b ROC of MinCT predictor using DA for ΔLPI prediction. c ROC of MinCT predictor using DA for ΔMPVI prediction

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BioMedical Engineering OnLine

ISSN: 1475-925X

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