6533b832fe1ef96bd129abe3

RESEARCH PRODUCT

Off-line control of the postprandial glycemia in type 1 diabetes patients by a fuzzy logic decision support

Bartolomeo Cosenza

subject

medicine.medical_specialtyDecision support systemType 1 diabetesAdaptive neuro fuzzy inference systembusiness.industryInsulinmedicine.medical_treatmentdigestive oral and skin physiologyGeneral Engineeringmedicine.diseaseFuzzy logicComputer Science ApplicationsInsulin resistancePostprandialArtificial IntelligencemedicineIntensive care medicinebusinessGlycemic

description

The target of this paper is to describe the use of fuzzy techniques in the development of a decision support system that allows the optimization of postprandial glycemia in type 1 diabetes patients taking into account the kind of meal taken by patients, the preprandial glycemia and the insulin resistance (the response of the body to insulin dose injection therapy). The decision support system can, in many cases, provide patients with the correct number of rapid insulin units that must be assumed to assure an optimal glycemic profile, keeping the blood glucose level close to the homeostatic condition, several hours after the meal.

yearjournalcountryeditionlanguage
2012-09-01Expert Systems with Applications
https://doi.org/10.1016/j.eswa.2012.02.198