Article

GHOSTS: Generation of synthetic hospital time series for clinical machine learning research

2024-11-04

Abstract excerpt

Machine learning (ML) holds great promise to support, improve, and automatize clinical decision-making in hospitals. Data protection regulations, however, hinder abundantly available routine data from being shared across sites for model training. Generative models can overcome this limitation by learning to synthesize hospital data from a target population while ensuring data privacy. Clinical time series acquired...

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Literature Corpus work: 32548090-f1f1-527e-9eb5-1a5c56ff4ece
DOI: 10.1101/2024.10.29.24316332

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