Prediction of cyanotic and acyanotic congenital heart disease using machine learning models

doi:10.5409/wjcp.v13.i4.98472

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World Journal of Clinical Pediatrics

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2219-2808

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Pediatr. Dec 9, 2024; 13(4): 98472
Published online Dec 9, 2024. doi: 10.5409/wjcp.v13.i4.98472

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Figure 4 Receiver operating characteristic curves for comparison of subset logistic regression, subset logistic regression after deletion, and artificial neural network model. SLR: Subset logistic regression; SLRAD: Subset logistic regression after deletion; ANN: Artificial neural network.

Citation: Shahid S, Khurram H, Lim A, Shabbir MF, Billah B. Prediction of cyanotic and acyanotic congenital heart disease using machine learning models. World J Clin Pediatr 2024; 13(4): 98472
URL: https://www.wjgnet.com/2219-2808/full/v13/i4/98472.htm
DOI: https://dx.doi.org/10.5409/wjcp.v13.i4.98472