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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.

Data and Resources

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

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