IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms

The clinical symptoms of prediabetes are mild and easy to overlook, but prediabetes may develop into diabetes if early intervention is not performed. In this study, a deep learning model—referred to as IGRNet—is developed to effectively detect and diagnose prediabetes in a non-invasive, real-time ma...

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Detalles Bibliográficos
Autores principales: Wang, Liyang, Mu, Yao, Zhao, Jing, Wang, Xiaoya, Che, Huilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248708/
https://www.ncbi.nlm.nih.gov/pubmed/32365875
http://dx.doi.org/10.3390/s20092556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248708/
https://www.ncbi.nlm.nih.gov/pubmed/32365875
http://dx.doi.org/10.3390/s20092556

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