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1. Application of text mining to biomedical knowledge extraction: analyzing clinical narratives and medical literature

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  1. Frontmatter i
  2. Preface v
  3. Contents xi
  4. List of authors xix
  5. Part I. Methods and techniques for mining biomedical literature and electronic health records
  6. 1. Application of text mining to biomedical knowledge extraction: analyzing clinical narratives and medical literature 3
  7. 2. Unlocking information in electronic health records using natural language processing: a case study in medication information extraction 33
  8. 3. Online health information semantic search and exploration: reporting on two prototypes for performing information extraction on both a hospital intranet and the world wide web 49
  9. Part II. Machine Learning Techniques for Mining Medical Search Queries and Health-Related Social Media Posts and Tweets
  10. 4. Predicting dengue incidence in Thailand from online search queries that include weather and climatic variables 77
  11. 5. A study of personal health information posted online: using machine learning to validate the importance of the terms detected by MedDRA and SNOMED in revealing health information in social media 107
  12. 6. Twitter for health – building a social media search engine to better understand and curate laypersons’ personal experiences 133
  13. Part III. Using speech and audio technologies for improving access to online content for the computer-illiterate and the visually impaired
  14. 7. An empirical study of user satisfaction with a health dialogue system designed for the Nigerian low-literate, computer-illiterate, and visually impaired 177
  15. 8. DVX – the descriptive video exchange project: using crowd-based audio clips to improve online video access for the blind and the visually impaired 191
  16. Part IV. Visual data: new methods and approaches to mining radiographic image data and video metadata
  17. 9. Information extraction from medical images: evaluating a novel automatic image annotation system using semantic-based visual information retrieval 209
  18. 10. Helping patients in performing online video search: evaluating the importance of medical terminology extracted from MeSH and ICD-10 in health video title and description 241
  19. Editor’s biography 263
Heruntergeladen am 17.4.2026 von https://www.degruyterbrill.com/document/doi/10.1515/9781614513902.3/html
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