Choosing Clinical Variables for Risk Stratification Post-Acute Coronary Syndrome

Most risk stratification methods use expert opinion to identify a fixed number of clinical variables that have prognostic significance. In this study our goal was to develop improved metrics that utilize a variable number of input parameters. We first used Bootstrap Lasso Regression (BLR) – a Machin...

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Bibliographic Details
Main Authors: Myers, Paul Daniel, Huang, Wei, Anderson, Frederick Arthur, Stultz, Collin M
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2020
Subjects:
Online Access:https://hdl.handle.net/1721.1/124322