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Paper Information

Title

Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases.

Abstract

Maternal UA, glucose, and coagulation levels were the most consistent and significant predictors of CHDs. Thresholds below the current clinical definition of "abnormal" for these predictors could be used to help develop CHD screening and prevention strategies.

Journal

Frontiers in cardiovascular medicine

Citation

Qu Y, Deng X, Lin S, Han F, Chang HH, Ou Y, Nie Z, Mai J, Wang X, Gao X, Wu Y, Chen J, Zhuang J, Ryan I, Liu X. (2022). Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases. Frontiers in cardiovascular medicine, (8)

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