Diabetes; Diabetes prevention; Insulin sensitivity; Monte Carlo sensitivity analysis; Physiological modeling; Blood; Glucose; Insulin; Monte Carlo methods; Risk assessment; Safety engineering; Blood extraction; Diagnostic tools; Insulin injections; Monte carlo analysis; Oral glucose tolerance tests; Patient specific; Type-2 diabetes; Sensitivity analysis; Article; Monte Carlo method
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Bekisz, Sophie ; Université de Liège - ULiège > In silico medecine-Biomechanics Research Unit
Holder-Pearson, L.; University of Canterbury, Department of Mechanical Engineering, Centre for Bioengineering, Private Bag 4800, Christchurch, New Zealand
Chase, J. G.; University of Canterbury, Department of Mechanical Engineering, Centre for Bioengineering, Private Bag 4800, Christchurch, New Zealand
Desaive, Thomas ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Language :
English
Title :
In silico validation of a new model-based oral-subcutaneous insulin sensitivity testing through Monte Carlo sensitivity analyses
Publication date :
2020
Journal title :
Biomedical Signal Processing and Control
ISSN :
1746-8094
eISSN :
1746-8108
Publisher :
Elsevier Ltd
Volume :
61
Issue :
102030
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
Grant # CRS-S3-016
Funders :
Callaghan Innovation and Ministry of Business, Innovation and Employment (MBIE) for National Science Challenge 7, Science for Technological Innovation (SfTI)
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