[PDF] Knowledge Based Systems In Biomedicine And Computational Life Science eBook

Author : Tuan D. Pham
Publisher : Springer
Page : 221 pages
File Size : 34,36 MB
Release : 2012-12-14
Category : Technology & Engineering
ISBN : 3642330150

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This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include: personalized stress diagnosis system, image analysis system for breast cancer diagnosis, analysis of neuronal cell images, structure prediction of protein, relationship between two mental disorders, detection of cardiac abnormalities, holistic medicine based treatment and analysis of life-science data.

Author : Changming Sun
Publisher : Springer
Page : 286 pages
File Size : 41,44 MB
Release : 2014-11-07
Category : Computers
ISBN : 3319109847

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With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems. This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to each of the applications. It can be used by those both at graduate and specialist levels.

Author : D. Jude Hemanth
Publisher : Elsevier
Page : 350 pages
File Size : 14,27 MB
Release : 2023-11-16
Category : Computers
ISBN : 0443140006

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Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images comprehensively examines the wide range of AI-based mammogram analysis methods for medical applications. Beginning with an introductory overview of mammogram data analysis, the book covers the current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission mammography (PEM), as well as the recent advancements in 3D breast tomosynthesis and 4D mammogram. Deep learning models are presented in each chapter to show how they can assist in the efficient processing of breast images. The book also discusses hybrid intelligence approaches for early-stage detection and the use of machine learning classifiers for cancer detection, staging and density assessment in order to develop a proper treatment plan. This book will not only aid computer scientists and medical practitioners in developing a real-time AI based mammogram analysis system, but also addresses the issues and challenges with the current processing methods which are not conducive for real-time applications. Presents novel ideas for AI based mammogram data analysis Discusses the roles deep learning and machine learning techniques play in efficient processing of mammogram images and in the accurate defining of different types of breast cancer Features dozens of real-world case studies from contributors across the globe

Author : Quanmin Zhu
Publisher : Springer
Page : 856 pages
File Size : 12,33 MB
Release : 2014-11-29
Category : Technology & Engineering
ISBN : 3319128833

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The book offers a snapshot of the theories and applications of soft computing in the area of complex systems modeling and control. It presents the most important findings discussed during the 5th International Conference on Modelling, Identification and Control, held in Cairo, from August 31-September 2, 2013. The book consists of twenty-nine selected contributions, which have been thoroughly reviewed and extended before their inclusion in the volume. The different chapters, written by active researchers in the field, report on both current theories and important applications of soft-computing. Besides providing the readers with soft-computing fundamentals, and soft-computing based inductive methodologies/algorithms, the book also discusses key industrial soft-computing applications, as well as multidisciplinary solutions developed for a variety of purposes, like windup control, waste management, security issues, biomedical applications and many others. It is a perfect reference guide for graduate students, researchers and practitioners in the area of soft computing, systems modeling and control.

Author : Siddhartha Bhattacharyya
Publisher : Springer
Page : 459 pages
File Size : 27,87 MB
Release : 2015-08-21
Category : Technology & Engineering
ISBN : 8132225449

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The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chapters highlight the necessity of the hybrid soft computing methodology in general with emphasis on several application perspectives in particular. Typical examples include (a) Study of Economic Load Dispatch by Various Hybrid Optimization Techniques, (b) An Application of Color Magnetic Resonance Brain Image Segmentation by Para Optimus LG Activation Function, (c) Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis, (d) A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms, and (e) Hybridization of 2D-3D Images for Human Face Recognition. The elaborate findings of the chapters enhance the exhibition of the hybrid soft computing paradigm in the field of intelligent computing.

Author : Cannataro, Mario
Publisher : IGI Global
Page : 960 pages
File Size : 23,46 MB
Release : 2009-05-31
Category : Medical
ISBN : 1605663751

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"This book provides methodologies and developments of grid technologies applied in different fields of life sciences"--Provided by publisher.

Author : Ewa Pietka
Publisher : Springer Nature
Page : 552 pages
File Size : 16,60 MB
Release : 2022-06-18
Category : Technology & Engineering
ISBN : 3031091353

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This book presents a comprehensive study in the field of advances in medical data science and contains carefully selected articles contributed by experts of information technology. Continuous growth of the amount of medical information and the variety of multimodal content necessitates the demand for a fast and reliable technology able to process data and deliver results in a user-friendly manner at the time and place the information is needed. Computational approaches for understanding human complexity, AI-powered applications in image and signal processing, bioinformatics, sound and motion as activity stimulus, joint activities in biomedical engineering and physiotherapy, disorder in children, selected comparative studies give new meaning to optimization of the functional requirements of the healthcare system for the benefit of the patients. It is an interdisciplinary collection of papers that have both theoretical and applied dimensions. It includes the following research areas: Computational methods for understanding human complexity Image and signal analysis Multidimensional medical data analysis Sound and motion Joint activities in biomedical engineering and physiotherapy This book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence.

Author : Edison T. Liu
Publisher : Academic Press
Page : 450 pages
File Size : 15,4 MB
Release : 2009-09-17
Category : Science
ISBN : 0080919839

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Systems biology is a critical emerging field that quantifies and annotates the complexity of biological systems in order to construct algorithmic models to predict outcomes from component input. Applications in medicine are revolutionizing our understanding of biological processes and systems. Systems Biomedicine is organized around foundations, computational modeling, network biology, and integrative biology, with the extension of examples from human biology and pharmacology, to focus on the applications of systems approaches to medical problems. An integrative approach to the underlying genomic, proteomic, and computational biology principles provides researchers with guidance in the use of qualitative systems and hypothesis generators. To reflect the highly interdisciplinary nature of the field, careful detail has been extended to ensure explanations of complex mathematical and biological principles are clear with minimum technical jargon. Organized to reflect the important distinguishing characteristics of systems strategies in experimental biology and medicine Provides precise and comprehensive measurement tools for constructing a model of the system and tools for defining complexity as an experimental dependent variable Includes a thorough discussion of the applications of quantitative principles to biomedical problems

Author : Sean Ekins
Publisher : John Wiley & Sons
Page : 462 pages
File Size : 14,4 MB
Release : 2011-08-04
Category : Science
ISBN : 1118026020

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Methods, Processes, and Tools for Collaboration "The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types." Bryn Williams-Jones, Associate Research Fellow, Pfizer The pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations. Featuring contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships, including: Serving as a user manual for collaborations Tackling real problems from both human collaborative and data and informatics perspectives Providing case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader A must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies.

Author : William Siler
Publisher : Springer Science & Business Media
Page : 250 pages
File Size : 22,58 MB
Release : 2013-11-11
Category : Science
ISBN : 1475705468

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45 certainty about Federal policy concern the University of Alabama cardiac in ing the support of training contribute tensive care monitoring system on "ob to these difficulties. The problems are solete 1800 computers." Another re too broad and too complex to address sponded most efficaciously pointing out here. They are difficult for both aca that it is too bad that people lose sight of demia and government, and warrant the fact that a system on which a pro the active concern of the entire research gram is developed will always be able community. to do the job; change is not indicated Dr. Robert Macey introduced to the until the system ceases to be appropri ate. conference the exciting world of model development describing an application In another vein, the question opens to the area of membrane transport. The up a wide range of problems that can be discussion of his paper exposed the prob summarized as problems in the diffusion lern the modeler has of gaining ac of computer-based technology. At this ceptance of his particular approach, but juncture biomedical computing joins all mainly it provided a taste of the intellec the rest of biomedicine. The problems of tual excitement that modeling generates diffusion of advances in health research, among both doers and observers.