Method to generate a large cohort in-silico for type 1 diabetes

•Large in-silico cohort for type 1 diabetes is generated through linear regression.•Linear regression uses covariance to generate large cohorts through published data.•The overlapping dynamics is tested by an algorithm of clustering.•Covariant and random cohorts are compared their qualitative behavi...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2020-09, Vol.193, p.105523-105523, Article 105523
Hauptverfasser:	Orozco-López, Onofre, Rodríguez-Herrero, Agustín, Castañeda, Carlos E., García-Sáez, Gema, Elena Hernando, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Blood Glucose Blood Glucose Self-Monitoring Cluster Cohort Computer Simulation Covariance Diabetes Mellitus, Type 1 - drug therapy Humans In-silico Insulin Insulin - therapeutic use Insulin Infusion Systems Large cohort Linear regression Models, Biological Pancreas, Artificial
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