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

DOI retrieved: December 16, 2024

Additional Info

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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