most citedEvaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data

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cs.LG2017★ 1 cited

Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data

Henrietta Forssen, Riyaz S. Patel, Natalie Fitzpatrick +4

Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to full…