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.

Data and Resources

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

DOI retrieved: December 2, 2024

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
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Jin Li
Tingting Zhu
Homepage https://physionet.org/content/challenge-2012/1.0.0/