Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
A Methodology to Compare Prediction Algorithms from Cotinuous Glucose Monitoring Data
Year:2009
Research Areas
  • Processing and signal analysis
Information
Abstract
The performance of glucose predictors from continuous glucose monitoring devices is usually assessed by considering two key aspects: the accuracy, usually calculated as the Root Mean Square Error (RMSE) between the original and predicted CGM profiles, and the Mean Delay (MD), usually calculated as the relative delay in crossing some fixed thresholds. However, these parameters are not sufficient for assess the model utility in extreme hypo/hyper ranges and when the glucose trend changes. We present additional evaluation parameters to better characterize the predictor behavior in these extreme situations.
International
No
Congress
2nd Conference on Advanced Technologies & Treatments for Diabetes
960
Place
Athens
Reviewers
Si
ISBN/ISSN
00000000
Start Date
25/02/2009
End Date
28/02/2009
From page
1
To page
1
2nd Conference on Advanced Technologies & Treatments for Diabetes, libro de actas
Participants
  • Autor: Mª Carmen Pérez Gandía (UPM)
  • Autor: Maria Elena Hernando Perez (UPM)
  • Autor: Enrique Javier Gomez Aguilera (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Bioingeniería y Telemedicina
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Tecnología Fotónica
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