Continuous glucose monitor (CGM) time-series corpus used for self-supervised pretraining of CGM-JEPA, X-CGM-JEPA, GluFormer, and TS2Vec encoders in the paper CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations via Predictive Self-Supervised Pretraining.
Code:
https://github.com/cruiseresearchgroup/CGM-JEPAPretraining-only corpus. For the labeled downstream-evaluation cohorts (insulin resistance and β-cell dysfunction classification)… See the full description on the dataset page:
https://huggingface.co/datasets/CRUISEResearchGroup/CGM-JEPA-Pretraining.
