Uncertainty in Biology: A Computational Modeling Approach: 17 (Studies in Mechanobiology, Tissue Engineering and Biomaterials, 17) - Tapa dura

Libro 15 de 21: Studies in Mechanobiology, Tissue Engineering and Biomaterials
 
9783319212951: Uncertainty in Biology: A Computational Modeling Approach: 17 (Studies in Mechanobiology, Tissue Engineering and Biomaterials, 17)
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ISBN 10: 3319212958 ISBN 13: 9783319212951
Editorial: Springer, 2015

Sinopsis

Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the building and validation of computational models of biomedical processes: 1. Modeling establishment under uncertainty 2. Model selection and parameter fitting 3. Sensitivity analysis and model adaptation 4. Model predictions under uncertainty In each of the abovementioned areas, the book discusses a number of key-techniques by means of a general theoretical description followed by one or more practical examples. This book is intended for graduate students and researchers active in the field of computational modeling of biomedical processes who seek to acquaint themselves with the different ways in which to study the parameter space of their model as well as its overall behavior.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

Computational modeling of biomedical processes is gaining more and more weight in the current research into the etiology of biomedical problems and potential treatment strategies. Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background.
However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the building and validation of computational models of biomedical processes:

  1. Modeling establishment under uncertainty
  2. Model selection and parameter fitting
  3. Sensitivity analysis and model adaptation
  4. Model predictions under uncertainty

In each of the abovementioned areas, the book discusses a number of key-techniques by means of a general theoretical description followed by one or more practical examples. This book is intended for graduate students and researchers active in the field of computational modeling of biomedical processes who seek to acquaint themselves with the different ways in which to study the parameter space of their model as well as its overall behavior.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3319212958
ISBN 13 
9783319212951
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
490
Editor
Gomez-Cabrero David, Geris Liesbet
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9783319343723: Uncertainty in Biology: A Computational Modeling Approach: 17 (Studies in Mechanobiology, Tissue Engineering and Biomaterials)

Edición Destacada

ISBN 10:  3319343726 ISBN 13:  9783319343723
Editorial: Springer, 2016
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