Modelling Methodology for Physiology and Medicine
Autor Ewart Carson, Claudio Cobellien Limba Engleză Hardback – 11 dec 2013
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.
- 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
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Specificații
ISBN-13: 9780124115576
ISBN-10: 0124115578
Pagini: 588
Dimensiuni: 152 x 229 x 32 mm
Greutate: 0.95 kg
Ediția:2. Auflage.
Editura: ELSEVIER SCIENCE
ISBN-10: 0124115578
Pagini: 588
Dimensiuni: 152 x 229 x 32 mm
Greutate: 0.95 kg
Ediția:2. Auflage.
Editura: ELSEVIER SCIENCE
Cuprins
1. An introduction to modelling methodology 2. Control in Physiology and Medicine 3. Deconvolution4. 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 Models13. 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