Probabilistic Modeling In Bioinformatics And Medical Informatics

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Probabilistic Modeling in Bioinformatics and Medical Informatics

Author : Dirk Husmeier
Publisher : Springer Science & Business Media
ISBN 13 : 1846281199
Total Pages : 511 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Probabilistic Modeling in Bioinformatics and Medical Informatics by : Dirk Husmeier

Download or read book Probabilistic Modeling in Bioinformatics and Medical Informatics written by Dirk Husmeier and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.

Biological Sequence Analysis

Author : Richard Durbin
Publisher : Cambridge University Press
ISBN 13 : 113945739X
Total Pages : 372 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Biological Sequence Analysis by : Richard Durbin

Download or read book Biological Sequence Analysis written by Richard Durbin and published by Cambridge University Press. This book was released on 1998-04-23 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.

Machine Learning, Big Data, and IoT for Medical Informatics

Author : Pardeep Kumar
Publisher : Academic Press
ISBN 13 : 0128217812
Total Pages : 460 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning, Big Data, and IoT for Medical Informatics by : Pardeep Kumar

Download or read book Machine Learning, Big Data, and IoT for Medical Informatics written by Pardeep Kumar and published by Academic Press. This book was released on 2021-06-13 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT. - Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. - Includes several privacy preservation techniques for medical data. - Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. - Offers case studies and applications relating to machine learning, big data, and health care analysis.

Artificial Intelligence in Medicine

Author : David Riaño
Publisher : Springer
ISBN 13 : 303021642X
Total Pages : 431 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Artificial Intelligence in Medicine by : David Riaño

Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Handbook of Statistical Systems Biology

Author : Michael Stumpf
Publisher : John Wiley & Sons
ISBN 13 : 1119952042
Total Pages : 624 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Handbook of Statistical Systems Biology by : Michael Stumpf

Download or read book Handbook of Statistical Systems Biology written by Michael Stumpf and published by John Wiley & Sons. This book was released on 2011-09-09 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the unknown parameters. This book: Provides a comprehensive account of inference techniques in systems biology. Introduces classical and Bayesian statistical methods for complex systems. Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems. Discusses various applications for statistical systems biology, such as gene regulation and signal transduction. Features statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies. Presents an in-depth presentation of reverse engineering approaches. Provides colour illustrations to explain key concepts. This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.

Supply Chain Management: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1466626755
Total Pages : 1880 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Supply Chain Management: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Supply Chain Management: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2012-12-31 with total page 1880 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to keep up with the constant changes in technology, business have adopted supply chain management to improve competitive strategies on a strategic and operational level. Supply Chain Management: Concepts, Methodologies, Tools, and Applications is a reference collection which highlights the major concepts and issues in the application and advancement of supply chain management. Including research from leading scholars, this resource will be useful for academics, students, and practitioners interested in the continuous study of supply chain management and its influences.

Hybrid Artificial Intelligent Systems

Author : Francisco Javier de Cos Juez
Publisher : Springer
ISBN 13 : 331992639X
Total Pages : 765 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Hybrid Artificial Intelligent Systems by : Francisco Javier de Cos Juez

Download or read book Hybrid Artificial Intelligent Systems written by Francisco Javier de Cos Juez and published by Springer. This book was released on 2018-06-09 with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018, held in Oviedo, Spain, in June 2018. The 62 full papers published in this volume were carefully reviewed and selected from 104 submissions. They are organized in the following topical sections: Neurocomputing, fuzzy systems, rough sets, evolutionary algorithms, Agents andMultiagent Systems, and alike.

Pattern Recognition in Computational Molecular Biology

Author : Mourad Elloumi
Publisher : John Wiley & Sons
ISBN 13 : 1119078865
Total Pages : 654 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Pattern Recognition in Computational Molecular Biology by : Mourad Elloumi

Download or read book Pattern Recognition in Computational Molecular Biology written by Mourad Elloumi and published by John Wiley & Sons. This book was released on 2015-12-24 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.

15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics

Author : Kim Dremstrup
Publisher : Springer Science & Business Media
ISBN 13 : 3642216838
Total Pages : 291 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis 15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics by : Kim Dremstrup

Download or read book 15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics written by Kim Dremstrup and published by Springer Science & Business Media. This book was released on 2011-06-17 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the Proceedings of the 15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics. NBC 2011 brought together science, education and business under the motto “Cooperation for health”. The topics covered by the Conference Proceedings include: Imaging, Biomechanics, Neural engineering, Sport Science, Cardio-pulmonary engineering, Medical Informatics, Ultrasound, Assistive Technology, Telemedicine, and General Biomedical Engineering.

Advances in Computers

Author :
Publisher : Academic Press
ISBN 13 : 0128023414
Total Pages : 276 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Advances in Computers by :

Download or read book Advances in Computers written by and published by Academic Press. This book was released on 2015-02-28 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field. - In-depth surveys and tutorials on new computer technology - Well-known authors and researchers in the field - Extensive bibliographies with most chapters - Many of the volumes are devoted to single themes or subfields of computer science

Analyzing Data Through Probabilistic Modeling in Statistics

Author : Jakóbczak, Dariusz Jacek
Publisher : IGI Global
ISBN 13 : 1799847071
Total Pages : 331 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Analyzing Data Through Probabilistic Modeling in Statistics by : Jakóbczak, Dariusz Jacek

Download or read book Analyzing Data Through Probabilistic Modeling in Statistics written by Jakóbczak, Dariusz Jacek and published by IGI Global. This book was released on 2021-02-19 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic modeling represents a subject arising in many branches of mathematics, economics, and computer science. Such modeling connects pure mathematics with applied sciences. Similarly, data analyzing and statistics are situated on the border between pure mathematics and applied sciences. Therefore, when probabilistic modeling meets statistics, it is a very interesting occasion that has gained much research recently. With the increase of these technologies in life and work, it has become somewhat essential in the workplace to have planning, timetabling, scheduling, decision making, optimization, simulation, data analysis, and risk analysis and process modeling. However, there are still many difficulties and challenges that arrive in these sectors during the process of planning or decision making. There continues to be the need for more research on the impact of such probabilistic modeling with other approaches. Analyzing Data Through Probabilistic Modeling in Statistics is an essential reference source that builds on the available literature in the field of probabilistic modeling, statistics, operational research, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes, and decision analysis. This text will provide the resources necessary for economics and management sciences and for mathematics and computer sciences. This book is ideal for interested technology developers, decision makers, mathematicians, statisticians and practitioners, stakeholders, researchers, academicians, and students looking to further their research exposure to pertinent topics in operations research and probabilistic modeling.

Medical Informatics

Author : Hsinchun Chen
Publisher : Springer Science & Business Media
ISBN 13 : 038725739X
Total Pages : 656 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Medical Informatics by : Hsinchun Chen

Download or read book Medical Informatics written by Hsinchun Chen and published by Springer Science & Business Media. This book was released on 2006-07-19 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensively presents the foundations and leading application research in medical informatics/biomedicine. The concepts and techniques are illustrated with detailed case studies. Authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copies The title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.

Introduction to Systems Biology

Author : Sangdun Choi
Publisher : Springer Science & Business Media
ISBN 13 : 1597455318
Total Pages : 549 pages
Book Rating : 4.5/5 (974 download)

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Book Synopsis Introduction to Systems Biology by : Sangdun Choi

Download or read book Introduction to Systems Biology written by Sangdun Choi and published by Springer Science & Business Media. This book was released on 2008-05-17 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introductory text for undergraduate and graduate students who are interested in comprehensive biological systems. The authors offer a broad overview of the field using key examples and typical approaches to experimental design. The volume begins with an introduction to systems biology and then details experimental omics tools. Other sections introduce the reader to challenging computational approaches. The final sections provide ideas for theoretical and modeling optimization in systemic biological researches. The book is an indispensable resource, providing a first glimpse into the state-of-the-art in systems biology.

Information, Technology in Bio- and Medical Informatics, ITBAM 2010

Author : Sami Khuri
Publisher : Springer
ISBN 13 : 3642150209
Total Pages : 244 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Information, Technology in Bio- and Medical Informatics, ITBAM 2010 by : Sami Khuri

Download or read book Information, Technology in Bio- and Medical Informatics, ITBAM 2010 written by Sami Khuri and published by Springer. This book was released on 2010-09-09 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical engineering and medical informatics are challenging and rapidly growing areas. Applications of information technology in these areas are of paramount imp- tance. The aim of the first ITBAM conference was to bring together scientists, - searchers and practitioners from different disciplines (mathematics, bioinformatics, biology, medicine, biomedical engineering and computer science) having such c- mon interests. We hope that ITBAM conferences will provide opportunities for fru- ful discussions between all attendees and provide a platform where participants can exchange their most recent results, identify future directions and challenges, initiate possible collaborative research and system development, and develop common l- guages for solving problems in the realm of biomedical engineering, bioinformatics and medical informatics. The importance of computer-aided diagnosis and therapy has drawn more and more attention worldwide and laid the foundation for modern medicine with excellent potential for promising applications such as telemedicine, Web-based healthcare and analysis of genetic information. For this conference, after a peer-review process, we finally selected 13 long papers and 8 short papers that are now published in this volume. They are divided in to the following groups: workflow management and database; decision support and data management in biomedicine; medical data modelling and information retrieval; data mining in bioinformatics; knowledge representation and data management in bio- formatics; biological data and signal processing. The papers show how broad the spectrum of topics in applications of information technology to biomedical engine- ing and medical informatics is.

Probabilistic Methods for Financial and Marketing Informatics

Author : Richard E. Neapolitan
Publisher : Elsevier
ISBN 13 : 0080555675
Total Pages : 427 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Probabilistic Methods for Financial and Marketing Informatics by : Richard E. Neapolitan

Download or read book Probabilistic Methods for Financial and Marketing Informatics written by Richard E. Neapolitan and published by Elsevier. This book was released on 2010-07-26 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Methods for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to apply probabilistic reasoning to business problems. Rather than dwelling on rigor, algorithms, and proofs of theorems, the authors concentrate on showing examples and using the software package Netica to represent and solve problems. The book contains unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. It shares insights about when and why probabilistic methods can and cannot be used effectively. This book is recommended for all R&D professionals and students who are involved with industrial informatics, that is, applying the methodologies of computer science and engineering to business or industry information. This includes computer science and other professionals in the data management and data mining field whose interests are business and marketing information in general, and who want to apply AI and probabilistic methods to their problems in order to better predict how well a product or service will do in a particular market, for instance. Typical fields where this technology is used are in advertising, venture capital decision making, operational risk measurement in any industry, credit scoring, and investment science. - Unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance - Shares insights about when and why probabilistic methods can and cannot be used effectively - Complete review of Bayesian networks and probabilistic methods for those IT professionals new to informatics.

Artificial Intelligence

Author : Richard E. Neapolitan
Publisher : CRC Press
ISBN 13 : 1351384392
Total Pages : 481 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Artificial Intelligence by : Richard E. Neapolitan

Download or read book Artificial Intelligence written by Richard E. Neapolitan and published by CRC Press. This book was released on 2018-03-12 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.

Transactions on Large-Scale Data- and Knowledge-Centered Systems IV

Author : Christian Böhm
Publisher : Springer Science & Business Media
ISBN 13 : 3642237398
Total Pages : 218 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems IV by : Christian Böhm

Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems IV written by Christian Böhm and published by Springer Science & Business Media. This book was released on 2011-10-06 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between Grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This special issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems highlights some of the major challenges emerging from the biomedical applications that are currently inspiring and promoting database research. These include the management, organization, and integration of massive amounts of heterogeneous data; the semantic gap between high-level research questions and low-level data; and privacy and efficiency. The contributions cover a large variety of biological and medical applications, including genome-wide association studies, epidemic research, and neuroscience.