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

Libro 15 de 21: Studies in Mechanobiology, Tissue Engineering and Biomaterials
 
9783319343723: Uncertainty in Biology: A Computational Modeling Approach: 17 (Studies in Mechanobiology, Tissue Engineering and Biomaterials)
Tapa blanda
ISBN 10: 3319343726 ISBN 13: 9783319343723
Editorial: Springer, 2016

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
2016
Idioma
Inglés
ISBN 10 
3319343726
ISBN 13 
9783319343723
Encuadernación
Tapa blanda
Número de páginas
488
Editor
Geris Liesbet, Gomez-Cabrero David
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

Otras ediciones populares con el mismo título

9783319212951: Uncertainty in Biology: A Computational Modeling Approach: 17 (Studies in Mechanobiology, Tissue Engineering and Biomaterials)

Edición Destacada

ISBN 10:  3319212958 ISBN 13:  9783319212951
Editorial: Springer, 2015
Tapa dura