Literature DB >> 7011059

Modeling and identification of metabolic systems.

E R Carson, C Cobelli, L Finkelstein.   

Abstract

Introductory principles of physiological systems analysis by computer simulation or computation are introduced. The problems of model formulation, identification, and validation are examined. Selected guidelines for successful modeling are suggested, and examples of such applications in the field of endocrinology and metabolism are given.

Mesh：

Year:  1981        PMID： 7011059     DOI： 10.1152/ajpregu.1981.240.3.R120

Source DB:  PubMed          Journal:  Am J Physiol        ISSN： 0002-9513


  5 in total

1.  Influence of experimental conditions on parameter estimation for breathing mechanics: a sensitivity analysis approach.

Authors:  G Avanzolini; P Barbini
Journal:  Med Biol Eng Comput       Date:  1987-05       Impact factor: 2.602

2.  Validation of mathematical models of complex endocrine-metabolic systems. A case study on a model of glucose regulation.

Authors:  C Cobelli; A Mari
Journal:  Med Biol Eng Comput       Date:  1983-07       Impact factor: 2.602

3.  An optimal control model of diabetes mellitus.

Authors:  G W Swan
Journal:  Bull Math Biol       Date:  1982       Impact factor: 1.758

4.  Evaluation of alternative model structures of metabolic systems: two case studies on model identification and validation.

Authors:  C Cobelli; A Ruggeri
Journal:  Med Biol Eng Comput       Date:  1982-07       Impact factor: 2.602

5.  Carotenoid dynamics in Atlantic salmon.

Authors:  Hannah Rajasingh; Leiv Øyehaug; Dag Inge Våge; Stig W Omholt
Journal:  BMC Biol       Date:  2006-04-18       Impact factor: 7.431
  5 in total

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