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. Author manuscript; available in PMC: 2022 May 2.
Published in final edited form as: Cardiol Young. 2021 Nov 2;31(11):1770–1780. doi: 10.1017/S1047951121004212

Figure 5.

Figure 5.

Distribution of Machine Learning Algorithms Used in Pediatric Cardiology Research Focusing on the Diagnosis and Assessment of Critical and Non-Critical CHD

The most common neural network types were the convolutional neural network, time growing neural network, autoencoder, and generative adversarial network.

The most common kernel among the studies who used support vector machine was a Gaussian kernel.

*Congenital Heart Defect (CHD)