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IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records

A novel deep-learning model that learns the underlying patient dynamics over time across multivariate data to generate personalized realistic values conditioning on an individual's demographic characteristics and treatments.

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Cite this as

Ghadeer O. Ghosheh, Jin Li, Tingting Zhu (2024). Dataset: IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records. https://doi.org/10.57702/0exckpu3

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2401.04402
Author	Ghadeer O. Ghosheh
More Authors	Jin Li Tingting Zhu
Homepage	https://physionet.org/content/challenge-2012/1.0.0/