Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction
Abstract
• We propose an effective Weight-based Multiple Empirical Kernel Learning with Neighbor Discriminant Constraint (WMEKL-NDC) method for HF mortality prediction. • Our proposed WMEKL-NDC method achieves a highly competitive performance in three predictive targets containing the prediction of in-hospital, 30-day and 1-year mortality. • Our proposed WMEKL-NDC method is able to mine useful information from complex and diverse HF data and improve...
Paper Details
Title
Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction
Published Date
Jan 1, 2020
Volume
101
Pages
103340 - 103340
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