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New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography

The dataset used in this study is a large outpatient cohort of patients who underwent electrocardiogram (ECG) and hemoglobin A1c (HbA1c) testing. The dataset contains information on patient demographics, medical history, and ECG and HbA1c results.

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Cite this as

Neil Jethania, Aahlad Pulib, Hao Zhanga, Leonid Garbera, Lior Jankelsona, Yindalon Aphinyanaphongsa, Rajesh Ranganatha (2024). Dataset: New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography. https://doi.org/10.57702/1vzg95x7

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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 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2205.02900
Author	Neil Jethania
More Authors	Aahlad Pulib Hao Zhanga Leonid Garbera Lior Jankelsona Yindalon Aphinyanaphongsa Rajesh Ranganatha
Homepage	https://doi.org/10.1016/j.diabres.2023.03.023