hrp0092p1-328 | Diabetes and Insulin (2) | ESPE2019

Creating a Neural Network Model Based on Glycemic Variability Indices to Predict the Degree of Compensation for Type 1 Diabetes

Koshmeleva Marina , Samoilova Juliya , Kobyakova Olga , Oleynik Oxana , Brazovskii Konstantin , Nazarenko Valeriya , Filippova Tatiyana , Podchinenova Dariya

Actuality: Standard methods for determining the compensation of the disease don't always reliably reflect the level of the glycemic control of the patient, which leads to decompensation diabetes and reduce the quality and duration of life for patients. Evaluation of glycemic variability indices allows the physicians to predict the risk of developing life-threatening conditions and compensate the diabetesAim: To condu...