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Early Prediction of Gestational Diabetes Using Deep Learning and Electrocardiography: Results from the MERGD Study

2026-08-26

Abstract excerpt

<h4>Background: </h4> Current guidelines by the American College of Obstetrics and Gynecology require a two-step procedure for diagnosis of gestational diabetes (GD). This two-step procedure is challenging in resource limited settings. We determined if electrocardiography (ECG) done combined with artificial intelligence techniques can predict GD to provide a non-invasive, early gatekeeper strategy for GD risk stra...

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Literature Corpus work
9baed21d-2ee6-5b6f-8c84-1f01026cc0d7
DOI
10.20944/preprints202608.1875.v1
Open publication

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Early Prediction of Gestational Diabetes Using Deep Learning and Electrocardiography: Results from the MERGD StudyDOI 10.20944/preprints202608.1875.v1
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