Natural Language Processing In Healthcare
  1. 312 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

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.

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Yes, you can access Natural Language Processing In Healthcare by Satya Ranjan Dash, Shantipriya Parida, Esaú Villatoro Tello, Biswaranjan Acharya, Ondřej Bojar, Satya Ranjan Dash,Shantipriya Parida,Esaú Villatoro Tello,Biswaranjan Acharya,Ondřej Bojar in PDF and/or ePUB format, as well as other popular books in Computer Science & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. Editor Biographies
  9. Chapter 1 A Clinical Practice by Machine Translation on Low Resource Languages
  10. Chapter 2 Feature Analysis and Classification of Impaired Language Caused by Brain Injury
  11. Chapter 3 Natural Language Processing for Mental Disorders: An Overview
  12. Chapter 4 Healthcare NLP Infrastructure for the Greek Language
  13. Chapter 5 Formalizing the Recognition of Medical Domain Multiword Units
  14. Chapter 6 HealFavor: Machine Translation Enabled Healthcare Chat Based Application
  15. Chapter 7 Development of a Machine Translation System for Promoting the Use of a Low Resource Language in the Clinical Domain: The Case of Basque
  16. Chapter 8 Clinical NLP for Drug Safety
  17. Chapter 9 Language- and Domain-Independent Approach to Automatic Detection of COVID-19 Fake News
  18. Chapter 10 Employing Computational Linguistics to Improve Patient-Provider Secure Email Exchange: The ECLIPPSE Study
  19. Index