Natural Language Processing In Biomedicine
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Natural Language Processing In Biomedicine
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Author : Hua Xu
language : en
Publisher: Springer
Release Date : 2024-05-27
Natural Language Processing In Biomedicine written by Hua Xu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-27 with Medical categories.
This textbook covers broad topics within the application of natural language processing (NLP) in biomedicine, and provides in-depth review of the NLP solutions that reveal information embedded in biomedical text. The need for biomedical NLP research and development has grown rapidly in the past two decades as an important field in cognitive informatics. Natural Language Processing in Biomedicine: A Practical Guide introduces the history of the biomedical NLP field and takes the reader through the basic aspects of NLP including different levels of linguistic information and widely used machine learning and deep learning algorithms. The book details common biomedical NLP tasks, such as named entity recognition, concept normalization, relation extraction, text classification, information retrieval, and question answering. The book illustrates the tasks with real-life use cases and introduces real-world datasets, novel machine learning and deep learning algorithms, and large language models. Relevant resources for corpora and medical terminologies are also introduced. The final chapters are devoted to discussing applications of biomedical NLP in healthcare and life sciences. This textbook therefore represents essential reading for students in biomedical informatics programs, as well as for professionals who are conducting research or building biomedical NLP systems.
Information Retrieval In Biomedicine Natural Language Processing For Knowledge Integration
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Author : Prince, Violaine
language : en
Publisher: IGI Global
Release Date : 2009-03-31
Information Retrieval In Biomedicine Natural Language Processing For Knowledge Integration written by Prince, Violaine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-31 with Computers categories.
"This book provides relevant theoretical frameworks and the latest empirical research findings in biomedicine information retrieval as it pertains to linguistic granularity"--Provided by publisher.
Biomedical Natural Language Processing
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Author : Kevin Bretonnel Cohen
language : en
Publisher: John Benjamins Publishing Company
Release Date : 2014-02-15
Biomedical Natural Language Processing written by Kevin Bretonnel Cohen and has been published by John Benjamins Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-15 with Computers categories.
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.
Natural Language Processing In Healthcare
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Author : Satya Ranjan Dash
language : en
Publisher: CRC Press
Release Date : 2022-09-13
Natural Language Processing In Healthcare written by Satya Ranjan Dash and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-13 with Computers categories.
Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages covers the theoretical and practical aspects as well as ethical and social implications of NLP in healthcare. It showcases the latest research and developments contributing to the rising awareness and importance of maintaining linguistic diversity. The book goes on to present current advances and scenarios based on solutions in healthcare and low resource languages and identifies the major challenges and opportunities that will impact NLP in clinical practice and health studies.
Text Mining For Biology And Biomedicine
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Author : Sophia Ananiadou
language : en
Publisher: Artech House Publishers
Release Date : 2006
Text Mining For Biology And Biomedicine written by Sophia Ananiadou and has been published by Artech House Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
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.
Sentiment Analysis In The Bio Medical Domain
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Author : Ranjan Satapathy
language : en
Publisher: Springer
Release Date : 2018-01-23
Sentiment Analysis In The Bio Medical Domain written by Ranjan Satapathy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-23 with Medical categories.
The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public health community to use these sources for opinion mining. This book presents a lexicon-based approach to sentiment analysis in the bio-medical domain, i.e., WordNet for Medical Events (WME). This book gives an insight in handling unstructured textual data and converting it to structured machine-processable data in the bio-medical domain. The readers will discover the following key novelties: 1) development of a bio-medical lexicon: WME expansion and WME enrichment with additional features.; 2) ensemble of machine learning and computational creativity; 3) development of microtext analysis techniques to overcome the inconsistency in social communication. It will be of interest to researchers in the fields of socially-intelligent human-machine interaction and biomedical text mining
Natural Language Processing And Information Systems
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Author : Andrés Montoyo
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-06-01
Natural Language Processing And Information Systems written by Andrés Montoyo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-01 with Computers categories.
NLDB 2005, the 10th International Conference on Applications of Natural L- guage to Information Systems, was held on June 15–17, 2005 at the University of Alicante, Spain. Since the ?rst NLDB conference in 1995 the main goal has been to provide a forum to discuss and disseminate research on the integration of natural language resources in information system engineering. The development and convergence of computing, telecommunications and information systems has already led to a revolution in the way that we work, communicate with each other, buy goods and use services, and even in the way that weentertainandeducate ourselves.The revolutioncontinues,andoneof its results is that large volumes of information will increasingly be held in a form which is more natural for users than the data presentation formats typical of computer systems of the past. Natural language processing (NLP) is crucial in solving these problems, and language technologies will make an indispensable contribution to the success of information systems. We hope that NLDB 2005 was a modest contribution to this goal. NLDB 2005 contributed to advancing the goals and the high international standing of these conferences, largely due to its Program Committee, composed of renowned researchers in the ?eld of natural language processing and inf- mation system engineering. Papers were reviewed by three reviewers from the Program Committee. This clearly contributed to the signi?cant number of - pers submitted(95).Twenty-ninewereacceptedasregularpapers,while18were accepted as short papers.
Natural Language Processing And Information Systems
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Author : Zoubida Kedad
language : en
Publisher: Springer
Release Date : 2007-08-15
Natural Language Processing And Information Systems written by Zoubida Kedad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-15 with Computers categories.
This book constitutes the refereed proceedings of the 12th International Conference on Applications of Natural Language to Information Systems, NLDB 2007, held in Paris, France in June 2007. It covers natural language for database query processing, email management, semantic annotation, text clustering, ontology engineering, natural language for information system design, information retrieval systems, and natural language processing techniques.
Clinical Text Mining
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Author : Hercules Dalianis
language : en
Publisher: Springer
Release Date : 2018-05-14
Clinical Text Mining written by Hercules Dalianis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-14 with Computers categories.
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.
Methods In Biomedical Informatics
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Author : Indra Neil Sarkar
language : en
Publisher: Academic Press
Release Date : 2013-09-03
Methods In Biomedical Informatics written by Indra Neil Sarkar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-03 with Computers categories.
Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic and clinical data. Within an overall context of the scientific method, Methods in Biomedical Informatics provides a practical coverage of topics that is specifically designed for: (1) domain experts seeking an understanding of biomedical informatics approaches for addressing specific methodological needs; or (2) biomedical informaticians seeking an approachable overview of methodologies that can be used in scenarios germane to biomedical research. Contributors represent leading biomedical informatics experts: individuals who have demonstrated effective use of biomedical informatics methodologies in the real-world, high-quality biomedical applications Material is presented as a balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios. Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.