Computer-assisted image processing 12 lead ECG model to diagnose hyperkalemia  Venu Velagapudi, MD, John C. O'Horo, MD, Anu Vellanki, MD, Stephen P. Baker, MScPH, Rahul Pidikiti, MD, Jeffrey S. Stoff, MD, Dennis A. Tighe, MD  Journal of Electrocardiology  Volume 50, Issue 1, Pages 131-138 (January 2017) DOI: 10.1016/j.jelectrocard.2016.09.001 Copyright © 2016 Elsevier Inc. Terms and Conditions

Fig. 1 Figure adapted from Frohnert et al. [12] to illustrate T wave and P wave measurements. Journal of Electrocardiology 2017 50, 131-138DOI: (10.1016/j.jelectrocard.2016.09.001) Copyright © 2016 Elsevier Inc. Terms and Conditions

Fig. 2 ROC of the mixed linear model refit with standardized ECG variables excluding P wave height (Training set). Area under the curve (AUC) 0.856, 95% confidence interval 0.799 to 0.913. Asymptotic Sig. P 0.000. Variables: T wave width, new QRS width>100msec, descending T wave slope and P wave width. Journal of Electrocardiology 2017 50, 131-138DOI: (10.1016/j.jelectrocard.2016.09.001) Copyright © 2016 Elsevier Inc. Terms and Conditions

Fig. 3 ROC of the final simplified model (training set). Area under the curve (AUC) 0.798, 95% confidence interval 0.738 to 0.858. Asymptotic Sig. P 0.000. Variables: T wave width, new QRS width>100msec, descending T wave slope. Journal of Electrocardiology 2017 50, 131-138DOI: (10.1016/j.jelectrocard.2016.09.001) Copyright © 2016 Elsevier Inc. Terms and Conditions

Fig. 4 ROC of the validation set. Area under the curve (AUC) 0.783, 95% confidence interval 0.691 to 0.876. Asymptotic Sig. P 0.000. Journal of Electrocardiology 2017 50, 131-138DOI: (10.1016/j.jelectrocard.2016.09.001) Copyright © 2016 Elsevier Inc. Terms and Conditions

Journal of Electrocardiology 2017 50, 131-138DOI: (10. 1016/j Journal of Electrocardiology 2017 50, 131-138DOI: (10.1016/j.jelectrocard.2016.09.001) Copyright © 2016 Elsevier Inc. Terms and Conditions