Full Description
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.
Contents
Chapter 1. A Clinical Practice by Machine Translation on Low Resource Languages, Chapter 2. Feature Analysis and Classification of Impaired Language Caused by Brain Injury, Chapter 3. Natural Language Processing for Mental Disorders: an Overview, Chapter 4. Healthcare Nlp Infrastructure for the Greek Language, Chapter 5. Formalizing the Recognition of Medical Domain Multiword Units, Chapter 6. Healfavor: Machine Translation Enabled Healthcare Chat Based Application, 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, Chapter 8. Clinical Nlp for Drug Safety, Chapter 9. Language- and Domain-independent Approach to Automatic Detection of Covid-19 Fake News, Chapter 10. Employing Computational Linguistics to Improve Patient-provider Secure Email Exchange: the Eclippse Study
