The Effects of Additional Local-Mixing Compartments in the DISST Model-Based Assessment of Insulin Sensitivity.

Lam, Nicholas; Murray, Rua; Docherty, Paul D; Te Morenga, Lisa; Chase, J Geoffrey

Lam, Nicholas; Murray, Rua; Docherty, Paul D; Te Morenga, Lisa; Chase, J Geoffrey.

Afiliação

Lam N; Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Murray R; School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.
Docherty PD; Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Te Morenga L; Institute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, Baden-Württemberg, Germany.
Chase JG; Faculty of Health, Victoria University of Wellington, New Zealand.

J Diabetes Sci Technol ; 16(5): 1196-1207, 2022 09.

Article em En | MEDLINE | ID: mdl-34116618

Assuntos

Resistência à Insulina; Glicemia; Humanos; Insulina; Método de Monte Carlo

Palavras-chave

glycemic modelling; least squares estimation; numerical optimization; outlier data

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Resistência à Insulina Tipo de estudo: Diagnostic_studies / Guideline / Health_economic_evaluation Limite: Humans Idioma: En Revista: J Diabetes Sci Technol Assunto da revista: ENDOCRINOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Nova Zelândia

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