Biomedical Natural Language Processing
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Author | : Kevin Bretonnel Cohen |
Publisher | : John Benjamins Publishing Company |
Total Pages | : 174 |
Release | : 2014-02-15 |
Genre | : Computers |
ISBN | : 9027271062 |
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 | : Kevin Bretonnel Cohen |
Publisher | : |
Total Pages | : 0 |
Release | : 2014 |
Genre | : Biometry |
ISBN | : 9789027249975 |
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field, and is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.
Author | : Satya Ranjan Dash |
Publisher | : CRC Press |
Total Pages | : 261 |
Release | : 2022-09-13 |
Genre | : Computers |
ISBN | : 1000624684 |
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 | : Sergio Consoli |
Publisher | : Springer |
Total Pages | : 367 |
Release | : 2019-02-23 |
Genre | : Computers |
ISBN | : 3030052494 |
This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.
Author | : Christopher Manning |
Publisher | : MIT Press |
Total Pages | : 719 |
Release | : 1999-05-28 |
Genre | : Language Arts & Disciplines |
ISBN | : 0262303795 |
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
Author | : Bandyopadhyay, Sivaji |
Publisher | : IGI Global |
Total Pages | : 389 |
Release | : 2012-10-31 |
Genre | : Computers |
ISBN | : 1466621702 |
"This book provides pertinent and vital information that researchers, postgraduate, doctoral students, and practitioners are seeking for learning about the latest discoveries and advances in NLP methodologies and applications of NLP"--Provided by publisher.
Author | : Hua Xu |
Publisher | : Springer Nature |
Total Pages | : 449 |
Release | : |
Genre | : |
ISBN | : 3031558650 |
Author | : Nitin Indurkhya |
Publisher | : CRC Press |
Total Pages | : 704 |
Release | : 2010-02-22 |
Genre | : Business & Economics |
ISBN | : 142008593X |
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater
Author | : Udo Kuckartz |
Publisher | : SAGE |
Total Pages | : 193 |
Release | : 2014-01-23 |
Genre | : Reference |
ISBN | : 1446297764 |
How can you analyse narratives, interviews, field notes, or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Master’s and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.
Author | : MIT Critical Data |
Publisher | : Springer |
Total Pages | : 435 |
Release | : 2016-09-09 |
Genre | : Medical |
ISBN | : 3319437429 |
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.