Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series

no code implementations • 20 Jul 2023 • Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin M. Stultz

However, most existing SSL methods for clinical time series are limited in that they are designed for unimodal time series, such as a sequence of structured features (e. g., lab values and vitals signs) or an individual high-dimensional physiological signal (e. g., an electrocardiogram).

Self-Supervised Learning Time Series