1. PREDICTING DIABETES FROM PHOTOPLETHYSMOGRAPHY USING DEEP LEARNING
- Author
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Kirstin Aschbacher, Mark J. Pletcher, Jeffrey E. Olgin, Gregory M. Marcus, Robert Avram, Geoffrey Tison, and Peter Kuhar
- Subjects
medicine.medical_specialty ,business.industry ,030204 cardiovascular system & hematology ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,Photoplethysmogram ,Diabetes mellitus ,medicine ,030212 general & internal medicine ,Stage (cooking) ,Cardiology and Cardiovascular Medicine ,business ,Intensive care medicine - Abstract
Up to a third of patients with diabetes are undiagnosed, and therefore go untreated. Widely available consumer technologies could detect diabetes at an early stage. Since diabetes is associated with vascular changes, we examined whether diabetes could be detected using only the photoplethysmography
- Published
- 2019
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