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Modeling Methodology for Physiology and Medicine
 
 

Modeling Methodology for Physiology and Medicine, 2nd Edition

 
Modeling Methodology for Physiology and Medicine, 2nd Edition,Ewart Carson,Claudio Cobelli,ISBN9780124115576
 
 
 

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Elsevier

9780124115576

9780124095250

588

229 X 152

State of the art in mathematical modeling methodology for application to physiology and medicine

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Key Features

  • Builds upon and enhances the reader's existing knowledge of modeling methodology and practice
  • Editors are internationally renowned leaders in their respective fields
  • Provides an understanding of modeling methodologies that can address real problems in physiology and medicine and achieve results that are beneficial either in advancing research or in providing solutions to clinical problems

Description

Modelling Methodology for Physiology and Medicine, Second Edition, offers a unique approach and an unprecedented range of coverage of the state-of-the-art, advanced modeling methodology that is widely applicable to physiology and medicine. The second edition, which is completely updated and expanded, opens with a clear and integrated treatment of advanced methodology for developing mathematical models of physiology and medical systems. Readers are then shown how to apply this methodology beneficially to real-world problems in physiology and medicine, such as circulation and respiration.

The focus of Modelling Methodology for Physiology and Medicine, Second Edition, is the methodology that underpins good modeling practice. It builds upon the idea of an integrated methodology for the development and testing of mathematical models. It covers many specific areas of methodology in which important advances have taken place over recent years and illustrates the application of good methodological practice in key areas of physiology and medicine. It builds on work that the editors have carried out over the past 30 years, working in cooperation with leading practitioners in the field.

Readership

Practitioners, researchers, and students in the field of modelling with specialties in physiology and medicine (drawn from the related fields of engineering, informatics, computing, medicine, and physiology).

Ewart Carson

Carson and Cobelli are leaders in the field of physiological modelling, with extensive research experience and publication track records. They also have extensive experience teaching this material to a range of levels for both technical and clinical audiences.

Affiliations and Expertise

Centre for Health Informatics, City University, London, U.K.

View additional works by Ewart Carson

Claudio Cobelli

Carson and Cobelli are leaders in the field of physiological modelling, with extensive research experience and publication track records. They also have extensive experience teaching this material to a range of levels for both technical and clinical audiences.

Affiliations and Expertise

Department of Information Engineering, Universita di Padova, Italy

View additional works by Claudio Cobelli

Modeling Methodology for Physiology and Medicine, 2nd Edition

1. An introduction to modelling methodology
2. Control in Physiology and Medicine
3. Deconvolution
4. A priori identifiability of physiological parametric models
5. Parameter estimation
6. New Trends in nonparametric linear system identification
7. Population Modelling
8. Systems Biology
9. Genomic Regulatory Networks
10. Tracer experiment design for metabolic fluxes estimation in steady and nonsteady state
11. Physiological modelling of positron emission tomography images
12. Downstream from Heart Left Ventricle: Aortic Impedance Interpretation by Lumped- and Tube-load Models
13. Mathematical modelling of pulmonary gas exchange
14. Acid- base modelling
15. Insulin modelling
16. Glucose modelling
17. Blood-tissue exchange modelling
18. Stochastic modelling of physiological systems
19. Tumour growth modelling for drug development
20. Modelling cardiac biomechanics
21. Finite element modelling in musculoskeletal biomechanics
22. Probabilistic modelling with Bayesian networks
23. Modelling for synthetic biology
24. Mathematical models for computational neuroscience
 
 
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