Stabilizing high-dimensional prediction models using feature graphs
Gopakumar, Shivapratap, Tran, Truyen, Nguyen, Tu Dinh, Phung, Dinh and Venkatesh, Svetha 2015, Stabilizing high-dimensional prediction models using feature graphs, IEEE journal of biomedical and health informatics, vol. 19, no. 3, pp. 1044-1052, doi: 10.1109/JBHI.2014.2353031.
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Stabilizing high-dimensional prediction models using feature graphs
We investigate feature stability in the context of clinical prognosis derived from high-dimensional electronic medical records. To reduce variance in the selected features that are predictive, we introduce Laplacian-based regularization into a regression model. The Laplacian is derived on a feature graph that captures both the temporal and hierarchic relations between hospital events, diseases, and interventions. Using a cohort of patients with heart failure, we demonstrate better feature stability and goodness-of-fit through feature graph stabilization.
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