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).

Uncovering Voice Misuse Using Symbolic Mismatch

no code implementations • 8 Aug 2016 • Marzyeh Ghassemi, Zeeshan Syed, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag

Voice disorders affect an estimated 14 million working-aged Americans, and many more worldwide.

Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch

no code implementations • NeurIPS 2010 • Zeeshan Syed, John V. Guttag

We hypothesize that high risk patients can be identified using symbolic mismatch, as individuals in a population with unusual long-term physiological activity.

Clustering Decision Making +1