Temporal-Clustering Invariance in Irregular Healthcare Time Series

• Published in: arXiv.org
• Main Authors: Mohammad Taha Bahadori, Zachary Chase Lipton
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 27.04.2019
• Subjects: Clustering; Coarsening; Data points; Invariance; Mathematical models; Model accuracy; Multivariate analysis; Neural networks; Predictions; Sequences; Time series

Electronic records contain sequences of events, some of which take place all at once in a single visit, and others that are dispersed over multiple visits, each with a different timestamp. We postulate that fine temporal detail, e.g., whether a series of blood tests are completed at once or in rapid...