Predicting congenital heart defects: A comparison of three data mining methods

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Magnetic Resonance Brain Image Classification via Stationary Wavelet Transform and Generalized Eigenvalue Proximal Support Vector Machine

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Metabolomic prediction of fetal congenital heart defect in the first trimester

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The use of data mining to assist crop protection decisions on kiwifruit in New Zealand

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Risk factors and prediction of very short term versus short/intermediate term post-stroke mortality: A data mining approach

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Maternal flu or fever, medications use in the first trimester and the risk for neural tube defects: a hospital-based case–control study in China

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Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes

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Nongenetic Risk Factors and Congenital Heart Defects

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Prediction of Neural Tube Defect Using Support Vector Machine

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Data mining for credit card fraud: A comparative study

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Spectrum of congenital heart defects in Croatia

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Environmental Risk Factors for Congenital Heart Disease in the Shandong Peninsula, China: A Hospital-based Case–Control Study

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General Cardiovascular Risk Profile for Use in Primary Care

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A comparison of classification models to identify the Fragile X Syndrome

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Descriptive epidemiology of congenital heart disease in Northern England

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Prediction of outcome of fetal congenital heart disease using a cardiovascular profile score

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