Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events

Medical & Biological Engineering & Computing, pp. 2011-2026, 2019.

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Appropriate management of hypertensive patients relies on the accurate identification of clinically relevant features. However, traditional statistical methods may ignore important information in datasets or overlook possible interactions among features. Machine learning may improve the prediction accuracy and interpretability of regressi...More



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