Diabetes is a chronic disease affecting a significant percentage (about 10%) of the population characterized by the presence of high level of glucose in the blood (and thus in tissues). Diabetes occurs when the pancreas does not produce enough insulin (type 1 diabetes) or when the body cannot effectively use the insulin it produces (type 2 diabetes). Monitoring the glucose blood level and assessing the insulin dosage is one of the main target for clinicians. To this end, identifying Pattern of Interests (PoIs) in glucose daily distribution measured by using glucosimeters, may help in personalizing insulin dosage. In this paper, we propose a new approach for analyzing glucosimeters acquired data exploiting time varying windows. The proposed approach is being used at University Magna Graecia Dismetabolic unit to study clinical data and to identify interesting patterns from glucose daily measured values.

On the identification of PoIs in glucosimeter data

Tradigo G.;Scala F.;Guzzi P. H.;Flesca S.;
2022-01-01

Abstract

Diabetes is a chronic disease affecting a significant percentage (about 10%) of the population characterized by the presence of high level of glucose in the blood (and thus in tissues). Diabetes occurs when the pancreas does not produce enough insulin (type 1 diabetes) or when the body cannot effectively use the insulin it produces (type 2 diabetes). Monitoring the glucose blood level and assessing the insulin dosage is one of the main target for clinicians. To this end, identifying Pattern of Interests (PoIs) in glucose daily distribution measured by using glucosimeters, may help in personalizing insulin dosage. In this paper, we propose a new approach for analyzing glucosimeters acquired data exploiting time varying windows. The proposed approach is being used at University Magna Graecia Dismetabolic unit to study clinical data and to identify interesting patterns from glucose daily measured values.
978-1-6654-6845-9
Clinical data annotation
Diabetes
Glucose data analysis
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/341223
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact