New Paradigm of Personalized Glycemic Control Using Glucose Temporal Density Histograms.
Uriel TrahtembergTova HallasYehonatan SegmanElla SheimanMichal ShashaKobi NissimYosef Joseph SegmanPublished in: Journal of diabetes science and technology (2019)
A paradigm change of the existing model of diabetes control is proposed, shifting from standardized treatment algorithms based on HbA1c follow-up to a new controlling approach that is based on the personal glucose density histogram. The histogram is an informative, detailed tool for the current patient glycemic behavior, and a future histogram can be targeted for a successful treatment. In addition, the glucose burden and the glucose severity index are proposed as informative markers for successful treatment. This is applicable to any glycemic data, by means of invasive and noninvasive glucometers.
Keyphrases
- glycemic control
- blood glucose
- type diabetes
- machine learning
- weight loss
- contrast enhanced
- cardiovascular disease
- diffusion weighted imaging
- insulin resistance
- electronic health record
- diffusion weighted
- deep learning
- magnetic resonance
- drug delivery
- metabolic syndrome
- magnetic resonance imaging
- current status
- risk factors
- big data
- blood pressure
- artificial intelligence
- combination therapy