Text Mining For Biology And Biomedicine

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Artificial Intelligence

Author : Marco Antonio Aceves-Fernandez
Publisher : BoD – Books on Demand
ISBN 13 : 178923364X
Total Pages : 466 pages
Book Rating : 4.7/5 (892 download)

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Book Synopsis Artificial Intelligence by : Marco Antonio Aceves-Fernandez

Download or read book Artificial Intelligence written by Marco Antonio Aceves-Fernandez and published by BoD – Books on Demand. This book was released on 2018-06-27 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.

Text Mining for Biology and Biomedicine

Author : Sophia Ananiadou
Publisher : Artech House Publishers
ISBN 13 :
Total Pages : 312 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Text Mining for Biology and Biomedicine by : Sophia Ananiadou

Download or read book Text Mining for Biology and Biomedicine written by Sophia Ananiadou and published by Artech House Publishers. This book was released on 2006 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here's the first focused book that puts the full range of cutting-edge biological text mining techniques and tools at your command. This comprehensive volume describes the methods of natural language processing (NLP) and their applications in the biological domain, and spells out in detail the various lexical, terminological, and ontological resources now at your disposal - and how best to utilize them.

Biomedical Natural Language Processing

Author : Kevin Bretonnel Cohen
Publisher : John Benjamins Publishing Company
ISBN 13 : 9027271062
Total Pages : 174 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Biomedical Natural Language Processing by : Kevin Bretonnel Cohen

Download or read book Biomedical Natural Language Processing written by Kevin Bretonnel Cohen and published by John Benjamins Publishing Company. This book was released on 2014-02-15 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.

Clinical Text Mining

Author : Hercules Dalianis
Publisher : Springer
ISBN 13 : 3319785036
Total Pages : 192 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Clinical Text Mining by : Hercules Dalianis

Download or read book Clinical Text Mining written by Hercules Dalianis and published by Springer. This book was released on 2018-05-14 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.

Data Mining in Biomedicine

Author : Panos M. Pardalos
Publisher : Springer
ISBN 13 : 9780387693187
Total Pages : 580 pages
Book Rating : 4.6/5 (931 download)

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Book Synopsis Data Mining in Biomedicine by : Panos M. Pardalos

Download or read book Data Mining in Biomedicine written by Panos M. Pardalos and published by Springer. This book was released on 2007-03-15 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive reviews of recent trends in the field. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.

Analyzing Network Data in Biology and Medicine

Author : Nataša Pržulj
Publisher : Cambridge University Press
ISBN 13 : 1108432239
Total Pages : 647 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Analyzing Network Data in Biology and Medicine by : Nataša Pržulj

Download or read book Analyzing Network Data in Biology and Medicine written by Nataša Pržulj and published by Cambridge University Press. This book was released on 2019-03-28 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.

Biological Data Mining And Its Applications In Healthcare

Author : Xiaoli Li
Publisher : World Scientific
ISBN 13 : 9814551023
Total Pages : 437 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Biological Data Mining And Its Applications In Healthcare by : Xiaoli Li

Download or read book Biological Data Mining And Its Applications In Healthcare written by Xiaoli Li and published by World Scientific. This book was released on 2013-11-28 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy and incomplete data, processing compute-intensive tasks, and integrating various data sources, are new challenges faced by biologists in the post-genome era. This book will cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.

Text Mining Approaches for Biomedical Data

Author : Aditi Sharan
Publisher : Springer Nature
ISBN 13 : 9819739624
Total Pages : 438 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Text Mining Approaches for Biomedical Data by : Aditi Sharan

Download or read book Text Mining Approaches for Biomedical Data written by Aditi Sharan and published by Springer Nature. This book was released on with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Systems Biomedicine

Author : Edison T. Liu
Publisher : Academic Press
ISBN 13 : 0080919839
Total Pages : 450 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Systems Biomedicine by : Edison T. Liu

Download or read book Systems Biomedicine written by Edison T. Liu and published by Academic Press. This book was released on 2009-09-17 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

BIOLEXICON

Author : Charles Blinderman
Publisher : Charles C Thomas Publisher
ISBN 13 : 0398082278
Total Pages : 380 pages
Book Rating : 4.3/5 (98 download)

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Book Synopsis BIOLEXICON by : Charles Blinderman

Download or read book BIOLEXICON written by Charles Blinderman and published by Charles C Thomas Publisher. This book was released on 1990-01-01 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vocabulary of biology is made easier through knowing the meanings of elements that make up whole words. English continues to adopt words from foreign languages and to build its vocabulary by inventing new words from old elements. Most of the words entering English every year reside in technical vocabularies and knowing what the elements mean prepares medical students and physicians, the practitioner of any biological science, and anyone else to decipher these new words that might name a newly discovered microbe or mastodon, a disease, or a surgical procedure.

Data Processing Handbook for Complex Biological Data Sources

Author : Gauri Misra
Publisher : Academic Press
ISBN 13 : 0128172800
Total Pages : 191 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data Processing Handbook for Complex Biological Data Sources by : Gauri Misra

Download or read book Data Processing Handbook for Complex Biological Data Sources written by Gauri Misra and published by Academic Press. This book was released on 2019-03-23 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the different types of biological data and the techniques to process and interpret them. The book includes feedback the editor received from students studying at both undergraduate and graduate levels, and from her peers. In order to succeed in data processing for biological data sources, it is necessary to master the type of data and general methods and tools for modern data processing. For instance, many labs follow the path of interdisciplinary studies and get their data validated by several methods. Researchers at those labs may not perform all the techniques themselves, but either in collaboration or through outsourcing, they make use of a range of them, because, in the absence of cross validation using different techniques, the chances for acceptance of an article for publication in high profile journals is weakened. - Explains how to interpret enormous amounts of data generated using several experimental approaches in simple terms, thus relating biology and physics at the atomic level - Presents sample data files and explains the usage of equations and web servers cited in research articles to extract useful information from their own biological data - Discusses, in detail, raw data files, data processing strategies, and the web based sources relevant for data processing

Biomaterials Science

Author : William R Wagner
Publisher : Academic Press
ISBN 13 : 0128161388
Total Pages : 1612 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Biomaterials Science by : William R Wagner

Download or read book Biomaterials Science written by William R Wagner and published by Academic Press. This book was released on 2020-05-23 with total page 1612 pages. Available in PDF, EPUB and Kindle. Book excerpt: The revised edition of the renowned and bestselling title is the most comprehensive single text on all aspects of biomaterials science from principles to applications. Biomaterials Science, fourth edition, provides a balanced, insightful approach to both the learning of the science and technology of biomaterials and acts as the key reference for practitioners who are involved in the applications of materials in medicine.This new edition incorporates key updates to reflect the latest relevant research in the field, particularly in the applications section, which includes the latest in topics such as nanotechnology, robotic implantation, and biomaterials utilized in cancer research detection and therapy. Other additions include regenerative engineering, 3D printing, personalized medicine and organs on a chip. Translation from the lab to commercial products is emphasized with new content dedicated to medical device development, global issues related to translation, and issues of quality assurance and reimbursement. In response to customer feedback, the new edition also features consolidation of redundant material to ensure clarity and focus. Biomaterials Science, 4th edition is an important update to the best-selling text, vital to the biomaterials' community. - The most comprehensive coverage of principles and applications of all classes of biomaterials - Edited and contributed by the best-known figures in the biomaterials field today; fully endorsed and supported by the Society for Biomaterials - Fully revised and updated to address issues of translation, nanotechnology, additive manufacturing, organs on chip, precision medicine and much more. - Online chapter exercises available for most chapters

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Author : Andreas Holzinger
Publisher : Springer
ISBN 13 : 3662439689
Total Pages : 373 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Interactive Knowledge Discovery and Data Mining in Biomedical Informatics by : Andreas Holzinger

Download or read book Interactive Knowledge Discovery and Data Mining in Biomedical Informatics written by Andreas Holzinger and published by Springer. This book was released on 2014-06-17 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.

Analytical Techniques in Biosciences

Author : Chukwuebuka Egbuna
Publisher : Academic Press
ISBN 13 : 0128227990
Total Pages : 302 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Analytical Techniques in Biosciences by : Chukwuebuka Egbuna

Download or read book Analytical Techniques in Biosciences written by Chukwuebuka Egbuna and published by Academic Press. This book was released on 2021-10-21 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytical Techniques in Biosciences: From Basics to Applications presents comprehensive and up-to-date information on the various analytical techniques obtainable in bioscience research laboratories across the world. This book contains chapters that discuss the basic bioanalytical protocols and sample preparation guidelines. Commonly encountered analytical techniques, their working principles, and applications were presented. Techniques, considered in this book, include centrifugation techniques, electrophoretic techniques, chromatography, titrimetry, spectrometry, and hyphenated techniques. Subsequent chapters emphasize molecular weight determination and electroanalytical techniques, biosensors, and enzyme assay protocols. Other chapters detail microbial techniques, statistical methods, computational modeling, and immunology and immunochemistry.The book draws from experts from key institutions around the globe, who have simplified the chapters in a way that will be useful to early-stage researchers as well as advanced scientists. It is also carefully structured and integrated sequentially to aid flow, consistency, and continuity. This is a must-have reference for graduate students and researchers in the field of biosciences. - Presents basic analytical protocols and sample-preparation guidelines - Details the various analytical techniques, including centrifugation, spectrometry, chromatography, and titrimetry - Describes advanced techniques such as hyphenated techniques, electroanalytical techniques, and the application of biosensors in biomedical research - Presents biostatistical tools and methods and basic computational models in biosciences

Basics of Bioinformatics

Author : Rui Jiang
Publisher : Springer Science & Business Media
ISBN 13 : 3642389511
Total Pages : 412 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Basics of Bioinformatics by : Rui Jiang

Download or read book Basics of Bioinformatics written by Rui Jiang and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book outlines 11 courses and 15 research topics in bioinformatics, based on curriculums and talks in a graduate summer school on bioinformatics that was held in Tsinghua University. The courses include: Basics for Bioinformatics, Basic Statistics for Bioinformatics, Topics in Computational Genomics, Statistical Methods in Bioinformatics, Algorithms in Computational Biology, Multivariate Statistical Methods in Bioinformatics Research, Association Analysis for Human Diseases: Methods and Examples, Data Mining and Knowledge Discovery Methods with Case Examples, Applied Bioinformatics Tools, Foundations for the Study of Structure and Function of Proteins, Computational Systems Biology Approaches for Deciphering Traditional Chinese Medicine, and Advanced Topics in Bioinformatics and Computational Biology. This book can serve as not only a primer for beginners in bioinformatics, but also a highly summarized yet systematic reference book for researchers in this field. Rui Jiang and Xuegong Zhang are both professors at the Department of Automation, Tsinghua University, China. Professor Michael Q. Zhang works at the Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

Big Data Analytics in Bioinformatics and Healthcare

Author : Wang, Baoying
Publisher : IGI Global
ISBN 13 : 1466666129
Total Pages : 552 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Big Data Analytics in Bioinformatics and Healthcare by : Wang, Baoying

Download or read book Big Data Analytics in Bioinformatics and Healthcare written by Wang, Baoying and published by IGI Global. This book was released on 2014-10-31 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Handbook of Research on Systems Biology Applications in Medicine

Author : Daskalaki, Andriani
Publisher : IGI Global
ISBN 13 : 1605660779
Total Pages : 982 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Handbook of Research on Systems Biology Applications in Medicine by : Daskalaki, Andriani

Download or read book Handbook of Research on Systems Biology Applications in Medicine written by Daskalaki, Andriani and published by IGI Global. This book was released on 2008-11-30 with total page 982 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book highlights the use of systems approaches including genomic, cellular, proteomic, metabolomic, bioinformatics, molecular, and biochemical, to address fundamental questions in complex diseases like cancer diabetes but also in ageing"--Provided by publisher.