944-P: Blood Glucose Prediction for Type 2 Diabetic Patients Using Machine Learning

The blood glucose prediction algorithms were widely studied for the patients with type 1 diabetes. We analyzed the data of 16 type 2 diabetic patients underwent continuous glucose monitoring (CGM) through deep-learning models. Feed Forward Neural Network (FFNN) and Long Short-Term Memory (LSTM) were...

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Veröffentlicht in:	Diabetes (New York, N.Y.) N.Y.), 2019-06, Vol.68 (Supplement_1)
Hauptverfasser:	KIM, DAEYEON, LEE, HAN-BEOM, KIM, YEOJOO, KIM, SANG JIN, LEE, SANG-JEONG, CHUN, SUNG WAN
Format:	Artikel
Sprache:	eng
Schlagworte:	Blood glucose Diabetes Diabetes mellitus Diabetes mellitus (insulin dependent) Glucose Glucose monitoring Learning algorithms Long short-term memory Machine learning Neural networks Patients
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