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Optimization in Medicine (Springer Optimization and Its Applications Book 12) by Ryan Acosta, Matthias Ehrgott, Allen Holder, Daniel Nevin (auth.), Carlos J. S. Alves, Panos M. Pardalos, Luis Nunes Vicente (eds.) is a nonfiction available to read on EtoBox.

What is Optimization in Medicine (Springer Optimization and Its Applications Book 12) about?

Optimization has become an essential tool in addressing the limitation of resources and need for better decision-making in the medical field. Both continuous and discrete mathematical techniques are playing an increasingly important role in understanding several fundamental problems in medicine. This volume presents a wide range of medical applications that can utilize mathematical computing. Examples include using an algorithm for considering the seed reconstruction problem in brachytherapy and using optimization-classification models to assist in the early prediction, diagnosis and detection of diseases. Discrete optimization techniques and measures derived from the theory of nonlinear dynamics, with analysis of multi-electrode electroencephalographic (EEG) data, assist in predicting impending epileptic seizures. Mathematics in medicine can also be found in recent cancer research. Sophisticated mathematical models and optimization algorithms have been used to generate treatment plans for radionuclide implant and external beam radiation therapy. Optimization techniques have also been used to automate the planning process in Gamma Knife treatment, as well as to address a variety of

Who reads Optimization in Medicine (Springer Optimization and Its Applications Book 12)?

Author

Ryan Acosta, Matthias Ehrgott, Allen Holder, Daniel Nevin (auth.), Carlos J. S. Alves, Panos M. Pardalos, Luis Nunes Vicente (eds.)

Publisher

Springer-Verlag New York

Published

2008

Language

EN

ISBN

9780387732985

Category

nonfiction

Subjects

Medical, Mathematics, Science