Risk-based postprandial hypoglycemia forecasting using supervised learning.
BACKGROUND
Predicting insulin-induced postprandial hypoglycemic events is critical for the safety of type 1 diabetes patients because an early warning of hypoglycemia facilitates correction of the insulin bolus before its administration. The postprandial hypoglycemic event counts can be lowered by reducing the size of the bolus based on a reliable prediction but at the cost of increasing the average blood glucose.


METHODS
We developed a method for predicting postprandial hypoglycemia using machine learning techniques personalized to each patient. The proposed system enables on-line therapeutic decision making for patients using a sensor augmented pump therapy. Two risk-based approaches were developed for a window of 240 min after the meal/bolus, and they were tested based on real retrospective data from 10 patients using 70 mg/dL and 54 mg/dL as thresholds according to the consensus for Level 1 and Level 2 hypoglycemia, respectively. Due to the small size of the patient cohort, we trained personalized models for each patient.


RESULTS
The median specificity and sensitivity were 79% and 71% for Level 1 hypoglycemia, respectively, and 81% and 77% for Level 2.


CONCLUSIONS
The results demonstrated that it is feasible to anticipate hypoglycemic events with a reasonable false-positive rate. The accuracy of the results and the trade-off between performance metrics allow its use in decision support systems for patients who wear insulin pumps.
['Oviedo|Silvia|S|', 'Contreras|Ivan|I|', 'Quirós|Carmen|C|', 'Giménez|Marga|M|', 'Conget|Ignacio|I|', 'Vehi|Josep|J|']
D001786:Blood Glucose D003922:Diabetes Mellitus, Type 1 D005260:Female D005544:Forecasting D006801:Humans D007003:Hypoglycemia D007004:Hypoglycemic Agents D007328:Insulin D007332:Insulin Infusion Systems D008297:Male D019518:Postprandial Period D012189:Retrospective Studies D000069553:Supervised Machine Learning
Postprandial hypoglycemia Type 1 diabetes Blood glucose Machine learning Bolus calculation Hypoglycemia prediction