Clinical time series can be synthesized compositionally by clustering subsequences into symbols and recombining them, producing training data that matches or improves on the original in forecasting and SOFA score prediction.
Impossibility theorems for domain adaptation
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Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation
Clinical time series can be synthesized compositionally by clustering subsequences into symbols and recombining them, producing training data that matches or improves on the original in forecasting and SOFA score prediction.