Clinically Meaningful Comparisons Over Time: An Approach to Measuring Patient Similarity based on Subsequence Alignment

no code implementations • 2 Mar 2018 • Dev Goyal, Zeeshan Syed, Jenna Wiens

Applied to the task of stratifying patients for risk of progression to probable Alzheimer's Disease, our approach outperforms models that use only snapshot data (AUROC of 0. 839 vs. 0. 812) and models that use global alignment techniques (AUROC of 0. 822).