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. 2023 Mar 7;4(2):48–59. doi: 10.1016/j.cvdhj.2023.03.001

Figure 2.

Figure 2

Modeling overview. Modeling schema of comparison models (A) and deep learning models (B). A: The Age and Sex Model includes terms for patient age and sex in a logistic regression model. The ECG Measures Model includes quantitative electrocardiogram (ECG) measures along with patient age and sex in a logistic regression model. B: In LVH-Net, the 12-lead ECG waveform is first converted into a 320-dimensional representation using PCLR (Patient Contrastive Learning of Representations; see text). The representation, along with patient age and sex, are input into a logistic regression model that is trained to classify left ventricular hypertrophy (LVH) etiology, including cardiac amyloidosis, hypertrophic cardiomyopathy, aortic stenosis LVH, hypertensive LVH, other LVH, and no LVH. LVH-Net Lead I and LVH-Net Lead II models use PCLR representations derived only from ECG waveform data of ECG leads I and II, respectively.