Methods for determining disease risk combining downsampling of class-imbalanced sets with survival analysis
A survival analysis, downsampling technique used in the field of processing electronic data to determine disease risk
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[0074] This example provides a description of the combination of downsampling and a Cox proportional hazards elastic net regression model to evaluate the prediction of a myocardial infarction (MI) event up to 4 years after the initial blood draw, which can be found in figure 2 Completed within the exemplary data risk analysis platform.
[0075] The purpose of this example is at least twofold: 1) to select and identify features predictive of both minority and majority classes, and 2) to derive estimated effect sizes such that minority class risk is well predicted. As a comparison, the predictive power of the logistic regression elastic net model (with and without downsampling) and that of the Cox elastic net model without downsampling were examined.
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