Information Technologies in Biomedicine, Ewa Pietka; Jacek Kawa

Автор: Panos Pardalos; Vladimir L. Boginski; Alkis Vazaco
Название: Data Mining in Biomedicine
ISBN: 1441943439 ISBN-13(EAN): 9781441943439
Издательство: Springer
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Цена: 174130.00 T
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Описание: This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.

Автор: Lodewijk Bos; Denis Carroll; Luis Kun; Andrew Mars
Название: Future Visions on Biomedicine and Bioinformatics 2
ISBN: 364226963X ISBN-13(EAN): 9783642269639
Издательство: Springer
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Цена: 104480.00 T
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Описание: Swamy Laxminarayan was a prominent biomedical scientist and his ideas influenced the Biomedical Technology field substantially. This book provides an overview on his multiple achievements and presents a collection of his most outstanding publications.

Автор: Quarteroni
Название: Complex Systems in Biomedicine
ISBN: 8847003946 ISBN-13(EAN): 9788847003941
Издательство: Springer
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Цена: 121890.00 T
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Описание: Mathematical modeling of human physiopathology is a tremendously ambitious task. It encompasses the modeling of most diverse compartments such as the cardiovascular, respiratory, skeletal and nervous systems, as well as the mechanical and biochemical interaction between blood flow and arterial walls, or electrocardiac processes and the electric conduction into biological tissues. Mathematical models can be set up to simulate both vasculogenesis (the aggregation and organisation of endothelial cells dispersed in a given environment) and angiogenesis (the formation of new vessels sprouting from an existing vessel) that are relevant to the formation of vascular networks, and in particular to the description of tumor growth. The integration of models aimed at simulating the cooperation and interrelation of different systems is an even more difficult task. It calls for the set up of, for instance, interaction models for the integrated cardio-vascular system and the interplay between central circulation and peripheral compartments, models for the mid-long range cardiovascular adjustments to pathological conditions (e.g. to account for surgical interventions, congenital malformations, or tumor growth), models for the integration among circulation, tissue perfusion, biochemical and thermal regulation, models for parameter identification and sensitivity analysis to parameter changes or data uncertainty – and many others. The heart is a complex system in itself, where electrical phenomena are functionally related with the wall deformation. In its turn, electrical activity is related with heart physiology. It involves nonlinear reaction-diffusion processes and provides the activation stimulus to the heart dynamics and eventually the blood ventricular flow that drives the haemodynamics of the whole circulatory system. In fact, the influence is reciprocal, since the circulatory system in turns affects the heart dynamics and may induce an overload depending upon the individual physiopathologies ( for instance the presence of a stenotic artery or a vascular prosthesis).Virtually, all the fields of mathematics have a role to play in this context. Geometry and approximation theory provide the tools for handling clinical data acquired by tomography or magnetic resonance, identifying meaningful geometrical patterns and producing three-dimensional geometrical models stemming from the original patients data. Mathematical analysis, flow and solid dynamics, stochastic analysis are used to set up the differential models and predict uncertainty. Numerical analysis and high performance computing are needed to numerically solve the complex differential models. Finally, methods from stochastic and statistical analysis are exploited for the modeling and interpretation of space-time patterns. Indeed, the complexity of the problems at hand often stimulates the use of innovative mathematical techniques that are able, for instance, to accurately catch those processes that occur at multiple scales in time and space (like cellular and systemic effects), and that are governed by heterogeneous physical laws.

Автор: Lackie John
Название: A Dictionary of Biomedicine
ISBN: 0199549354 ISBN-13(EAN): 9780199549351
Издательство: Oxford Academ
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Цена: 18470.00 T
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Описание: This dictionary includes 10,000 A-Z entries on all areas of biomedicine. It also covers terms from related areas, including anatomy, genetics, pathology, pharmacology, and clinical medicine. Fully cross-referenced and with web links, this is a clear and authoritative guide to an increasingly important area of medicine.

Автор: Panos Pardalos; Vladimir L. Boginski; Alkis Vazaco
Название: Data Mining in Biomedicine
ISBN: 0387693181 ISBN-13(EAN): 9780387693187
Издательство: Springer
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Цена: 217680.00 T
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Описание: This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.

Автор: Tomasz G. Smolinski; Mariofanna G. Milanova; Aboul
Название: Computational Intelligence in Biomedicine and Bioinformatics
ISBN: 354070776X ISBN-13(EAN): 9783540707769
Издательство: Springer
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Цена: 204040.00 T
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Описание: Offers an overview of the methodologies that are utilized for biomedicine and/or bioinformatics-oriented applications. This work also includes contributions from researchers applying computational intelligence techniques to important problems in biomedicine and bioinformatics.

Автор: Janosky
Название: Single Subject Designs in Biomedicine
ISBN: 9048124433 ISBN-13(EAN): 9789048124435
Издательство: Springer
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Цена: 153720.00 T
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Описание: Draws upon the history of single case research within the educational and behavioral research settings. This work uses biomedical illustrations to demonstrate the processes of designing, implementing and evaluating a single subject design. It discusses statistical and visual techniques for data analysis.

Автор: Tomasz G. Smolinski; Mariofanna G. Milanova; Aboul
Название: Computational Intelligence in Biomedicine and Bioinformatics
ISBN: 3642089690 ISBN-13(EAN): 9783642089695
Издательство: Springer
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Цена: 204040.00 T
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Описание: The purpose of this book is to provide an overview of state-of-the-art methodologies currently utilized for biomedicine and/or bioinformatics-oriented applications. Researchers working in these fields will learn new methods to help tackle their problems.