IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms
Summary
IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms is a scholarly article[1].
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IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms. Retrieved May 24, 2026, from https://4ort.xyz/entity/igrnet-a-deep-learning-model-for-non-invasive-real-time-diagnosis-of-prediabetes-through-electrocardiograms
MLA“IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/igrnet-a-deep-learning-model-for-non-invasive-real-time-diagnosis-of-prediabetes-through-electrocardiograms.
BibTeX@misc{4ortxyz_igrnet-a-deep-learning-model-for-non-invasive-real-time-diagnosis-of-prediabetes-through-electrocardiograms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms}}, year = {2026}, url = {https://4ort.xyz/entity/igrnet-a-deep-learning-model-for-non-invasive-real-time-diagnosis-of-prediabetes-through-electrocardiograms}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms — https://4ort.xyz/entity/igrnet-a-deep-learning-model-for-non-invasive-real-time-diagnosis-of-prediabetes-through-electrocardiograms (retrieved 2026-05-24)
