A systematic review of machine learning for congenital heart disease that compiles datasets, algorithms, and reported metrics, but its tables contain citation and accuracy errors.
”Predicting congenital heart defects: A comparison of three data mining methods.” PloS one 12.5 (2017): e0177811
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The Role of Machine Learning in Congenital Heart Disease Diagnosis: Datasets, Algorithms, and Insights
A systematic review of machine learning for congenital heart disease that compiles datasets, algorithms, and reported metrics, but its tables contain citation and accuracy errors.