Natural Language Processing In Biomedicine PDF Download
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Author | : Hua Xu |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2024-05-27 |
Genre | : Medical |
ISBN | : 9783031558641 |
Download Natural Language Processing in Biomedicine Book in PDF, ePub and Kindle
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.
Author | : Kevin Bretonnel Cohen |
Publisher | : John Benjamins Publishing Company |
Total Pages | : 174 |
Release | : 2014-02-15 |
Genre | : Computers |
ISBN | : 9027271062 |
Download Biomedical Natural Language Processing Book in PDF, ePub and Kindle
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.
Author | : Hua Xu |
Publisher | : Springer Nature |
Total Pages | : 449 |
Release | : |
Genre | : |
ISBN | : 3031558650 |
Download Natural Language Processing in Biomedicine Book in PDF, ePub and Kindle
Author | : Satya Ranjan Dash |
Publisher | : CRC Press |
Total Pages | : 227 |
Release | : 2022-09-13 |
Genre | : Computers |
ISBN | : 1000624692 |
Download Natural Language Processing In Healthcare Book in PDF, ePub and Kindle
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.
Author | : Eugene Charniak |
Publisher | : MIT Press |
Total Pages | : 196 |
Release | : 1996 |
Genre | : Computers |
ISBN | : 9780262531412 |
Download Statistical Language Learning Book in PDF, ePub and Kindle
This text introduces statistical language processing techniques--word tagging, parsing with probabilistic context free grammars, grammar induction, syntactic disambiguation, semantic word classes, word-sense disambiguation--along with the underlying mathematics and chapter exercises.
Author | : Indra Neil Sarkar |
Publisher | : Academic Press |
Total Pages | : 589 |
Release | : 2013-09-03 |
Genre | : Computers |
ISBN | : 0124016847 |
Download Methods in Biomedical Informatics Book in PDF, ePub and Kindle
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.
Author | : Prince, Violaine |
Publisher | : IGI Global |
Total Pages | : 460 |
Release | : 2009-03-31 |
Genre | : Computers |
ISBN | : 1605662755 |
Download Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration Book in PDF, ePub and Kindle
"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.
Author | : Naomi Sager |
Publisher | : Addison Wesley Publishing Company |
Total Pages | : 382 |
Release | : 1987 |
Genre | : Computers |
ISBN | : |
Download Medical Language Processing Book in PDF, ePub and Kindle
Author | : Edward H. Shortliffe |
Publisher | : Springer Science & Business Media |
Total Pages | : 1060 |
Release | : 2006-12-02 |
Genre | : Technology & Engineering |
ISBN | : 0387362789 |
Download Biomedical Informatics Book in PDF, ePub and Kindle
This book focuses on the role of computers in the provision of medical services. It provides both a conceptual framework and a practical approach for the implementation and management of IT used to improve the delivery of health care. Inspired by a Stanford University training program, it fills the need for a high quality text in computers and medicine. It meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Completely revised and expanded, this work includes several new chapters filled with brand new material.
Author | : Hercules Dalianis |
Publisher | : Springer |
Total Pages | : 192 |
Release | : 2018-05-14 |
Genre | : Computers |
ISBN | : 3319785036 |
Download Clinical Text Mining Book in PDF, ePub and Kindle
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.