Mining The Biomedical Literature

Author : Kalpana Raja
Publisher : Springer Nature
ISBN 13 : 1071623052
Total Pages : 324 pages
Book Rating : 4.53/5 ( download)

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Download or read book Biomedical Text Mining written by Kalpana Raja and published by Springer Nature. This book was released on 2022-06-17 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume details step-by-step instructions on biomedical literature mining protocols. Chapters guide readers through various topics such as, disease comorbidity, literature-based discovery, protocols to combine literature mining, machine learning for predicting biomedical discoveries, and uncovering unknown public knowledge by combining two pieces of information from different sets of PubMed articles. Additional chapters discuss the importance of data science to understand outbreaks such as COVID-19. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Biomedical Text Mining aims to be a useful practical guide to researches to help further their studies.

Author : Hagit Shatkay
Publisher : MIT Press
ISBN 13 : 0262017695
Total Pages : 151 pages
Book Rating : 4.95/5 ( download)

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Download or read book Mining the Biomedical Literature written by Hagit Shatkay and published by MIT Press. This book was released on 2012 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors offer an accessible introduction to key ideas in biomedical text mining. The chapters cover such topics as the sources of biomedical text; text-analysis methods in natural language processing; the tasks of information extraction, information retrieval, and text categorization; and methods for empirically assessing textmining systems.

Author : Vinod D. Kumar
Publisher : Humana
ISBN 13 : 9781493954292
Total Pages : 0 pages
Book Rating : 4.96/5 ( download)

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Download or read book Biomedical Literature Mining written by Vinod D. Kumar and published by Humana. This book was released on 2016-09-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Literature Mining, discusses the multiple facets of modern biomedical literature mining and its many applications in genomics and systems biology. The volume is divided into three sections focusing on information retrieval, integrated text-mining approaches and domain-specific mining methods. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Biomedical Literature Mining is designed as a useful bioinformatics resource in biomedical literature text mining for both those long experienced in or entirely new to, the field.

Author : Sumeet Dua
Publisher : CRC Press
ISBN 13 : 1439839395
Total Pages : 434 pages
Book Rating : 4.93/5 ( download)

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Download or read book Data Mining in Biomedical Imaging, Signaling, and Systems written by Sumeet Dua and published by CRC Press. This book was released on 2016-04-19 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive volume demonstrates the broad scope of uses for data mining and includes detailed strategies and methodologies for analyzing data from biomedical images, signals, and systems. Written by experts in the field, it presents data mining techniques in the context of various important clinical issues, including diagnosis and grading of depression, identification and classification of arrhythmia and ischemia, and description of classification paradigms for mammograms. The book provides ample information and techniques to benefit researchers, practitioners, and educators of biomedical science and engineering.

Author :
Publisher :
ISBN 13 :
Total Pages : 169 pages
Book Rating : 4.21/5 ( download)

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Download or read book Mining relations from the biomedical literature written by and published by . This book was released on 2009 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Hagit Shatkay
Publisher : MIT Press
ISBN 13 : 0262304244
Total Pages : 151 pages
Book Rating : 4.45/5 ( download)

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Download or read book Mining the Biomedical Literature written by Hagit Shatkay and published by MIT Press. This book was released on 2012-08-10 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise introduction to fundamental methods for finding and extracting relevant information from the ever-increasing amounts of biomedical text available The introduction of high-throughput methods has transformed biology into a data-rich science. Knowledge about biological entities and processes has traditionally been acquired by thousands of scientists through decades of experimentation and analysis. The current abundance of biomedical data is accompanied by the creation and quick dissemination of new information. Much of this information and knowledge, however, is represented only in text form—in the biomedical literature, lab notebooks, Web pages, and other sources. Researchers' need to find relevant information in the vast amounts of text has created a surge of interest in automated text-analysis. In this book, Hagit Shatkay and Mark Craven offer a concise and accessible introduction to key ideas in biomedical text mining. The chapters cover such topics as the relevant sources of biomedical text; text-analysis methods in natural language processing; the tasks of information extraction, information retrieval, and text categorization; and methods for empirically assessing text-mining systems. Finally, the authors describe several applications that recognize entities in text and link them to other entities and data resources, support the curation of structured databases, and make use of text to enable further prediction and discovery.

Author : Hercules Dalianis
Publisher : Springer
ISBN 13 : 3319785036
Total Pages : 192 pages
Book Rating : 4.35/5 ( download)

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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.

Author :
Publisher :
ISBN 13 :
Total Pages : 381 pages
Book Rating : 4.38/5 ( download)

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Download or read book Text Mining the Biomedical Literature written by and published by . This book was released on 2007 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text mining of the biomedical literature provides patterns of relationships among concepts, people, and institutions, offering enhanced medical/technical intelligence unobtainable by other means. This report describes myriad text mining capabilities. Section 1 covers biomedical knowledge management, the role of text mining in knowledge management, and describes the cultural changes and global agreements required to allow the full power and capabilities of text mining to be utilized. The next two sections address information retrieval issues. Section 2 describes the extraction of useful information from the published biomedical literature. Section 3 describes the information content in different record fields in a major medical database. The next four sections address computational linguistics issues, especially related to identifying patterns and relationships in text. Section 4 outlines a family of methods for generating radical biomedical discovery from the literature. Section 5 shows how increasing specialization within the biomedical community creates roadblocks for the acceleration of radical discovery, and recommends ways to eliminate these roadblocks. Section 6 describes the detection of unexpected asymmetries from the biomedical literature, with a specific example on bilateral organ cancer incidence asymmetry detection. Section 7 describes a unique approach for removing words/phrases of low technical content and improving the quality of the resulting technical taxonomies. Section 8 describes the use and misuse of citation analysis in biomedical text mining. Section 9 describes citation mining. Section 10 describes the use of citation analysis to evaluate the quality of research performers. Section 11 shows a systematic approach for defining the seminal literature of any biomedical topic. Sections 12 and 13 describe the differences between highly and poorly cited biomedical articles, with specific case studies from leading medical journals.

Author : Sophia Ananiadou
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.77/5 ( download)

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Download or read book Mining the Biomedical Literature written by Sophia Ananiadou and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Amy Neustein
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1614519765
Total Pages : 327 pages
Book Rating : 4.68/5 ( download)

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Download or read book Text Mining of Web-Based Medical Content written by Amy Neustein and published by Walter de Gruyter GmbH & Co KG. This book was released on 2014-10-09 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: • Includes Text Mining and Natural Language Processing Methods for extracting information from electronic health records and biomedical literature. • Analyzes text analytic tools for new media such as online forums, social media posts, tweets and video sharing. • Demonstrates how to use speech and audio technologies for improving access to online content for the visually impaired. Text Mining of Web-Based Medical Content examines various approaches to deriving high quality information from online biomedical literature, electronic health records, query search terms, social media posts and tweets. Using some of the latest empirical methods of knowledge extraction, the authors show how online content, generated by both professionals and laypersons, can be mined for valuable information about disease processes, adverse drug reactions not captured during clinical trials, and tropical fever outbreaks. Additionally, the authors show how to perform infromation extraction on a hospital intranet, how to build a social media search engine to glean information about patients' own experiences interacting with healthcare professionals, and how to improve access to online health information. This volume provides a wealth of timely material for health informatic professionals and machine learning, data mining, and natural language researchers. Topics in this book include: • Mining Biomedical Literature and Clinical Narratives • Medication Information Extraction • Machine Learning Techniques for Mining Medical Search Queries • Detecting the Level of Personal Health Information Revealed in Social Media • Curating Layperson’s Personal Experiences with Health Care from Social Media and Twitter • Health Dialogue Systems for Improving Access to Online Content • Crowd-based Audio Clips to Improve Online Video Access for the Visually Impaired • Semantic-based Visual Information Retrieval for Mining Radiographic Image Data • Evaluating the Importance of Medical Terminology in YouTube Video Titles and Descriptions