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020 _a9780387732992
024 7 _a10.1007/978-0-387-73299-2
_2doi
035 _a978-0-387-73299-2
072 7 _aPBKQ
_2bicssc
072 7 _aPBU
_2bicssc
072 7 _aMAT005000
_2bisacsh
072 7 _aMAT029020
_2bisacsh
082 0 4 _a515.64
090 _amg
100 1 _aAlves, Carlos J. S.
_99072
245 1 0 _aOptimization in Medicine
_h[electronic resource]/
_cedited by Carlos J. S. Alves, Panos M. Pardalos, Luis Nunes Vicente.
260 _aNew York:
_bSpringer, NY,
_c2008.
300 _bdigital.
490 0 _aSpringer Optimization and Its Applications,
_x1931-6828;
_v12
505 0 _aIntroduction -- Randomized Algorithms for Mixed Matching and Covering in Hypergraphs in 3-D Seed Reconstruction in Brachytherapy -- Decomposition of Matrices and Static Multileaf Collimators: A Survey -- The Influence of Dose Grid Resolution on Beam Selection Strategies in Radiotherapy Treatment Design -- Neuro-Dynamic Programming for Fractionated Radiotherapy Programming -- Optimal Control in High Intensity Focused Ultrasound Surgery -- Optimal Reconstruction Kernels in Medical Imaging -- Global Optimization and Spacial Synchronization Changes Prior to Epileptic Seizures -- Optimization-Based Predictive Models in Medicine and Biology -- References -- Index .
520 _aOptimization 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 medical image registration problems. This work grew out of a workshop on optimization which was held during the 2005 CIM Thematic Term on Optimization in Coimbra, Portugal. It provides an overview of the state-of-the-art in optimization in medicine and will serve as an excellent reference for researchers in the medical computing community and for those working in applied mathematics and optimization .
650 0 _aMathematics.
_943458
650 0 _aRadiology, Medical
_99073
650 0 _aMathematical optimization.
_937398
697 _aMatemáticas Gerais-
_x(inclusive alguns textos elementares sobre assuntos específicos)
_923752
700 1 _aPardalos, P. M.
_q(Panos M.),
_d1954-
_943402
700 1 _aVicente, Luis N.
_93386
710 1 _aSpringerLink (Online service).
_98857
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387732985
830 0 _aSpringer optimization and its applications;
_v12
_91969
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-73299-2
942 _2impa
_cEBK
999 _aALVES, Carlos J. S.; PARDALOS, P. M.; VICENTE, Luis N. <b> Optimization in Medicine. </b> New York: Springer, NY, 2008. (Springer Optimization and Its Applications, 1931-6828 ; 12). ISBN 9780387732992. Disponível em: <http://dx.doi.org/10.1007/978-0-387-73299-2 >
_c38482
_d38482