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1. Application of text mining to biomedical knowledge extraction: analyzing clinical narratives and medical literature
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Kapitel in diesem Buch
- Frontmatter i
- Preface v
- Contents xi
- List of authors xix
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Part I. Methods and techniques for mining biomedical literature and electronic health records
- 1. Application of text mining to biomedical knowledge extraction: analyzing clinical narratives and medical literature 3
- 2. Unlocking information in electronic health records using natural language processing: a case study in medication information extraction 33
- 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
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Part II. Machine Learning Techniques for Mining Medical Search Queries and Health-Related Social Media Posts and Tweets
- 4. Predicting dengue incidence in Thailand from online search queries that include weather and climatic variables 77
- 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
- 6. Twitter for health – building a social media search engine to better understand and curate laypersons’ personal experiences 133
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Part III. Using speech and audio technologies for improving access to online content for the computer-illiterate and the visually impaired
- 7. An empirical study of user satisfaction with a health dialogue system designed for the Nigerian low-literate, computer-illiterate, and visually impaired 177
- 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
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Part IV. Visual data: new methods and approaches to mining radiographic image data and video metadata
- 9. Information extraction from medical images: evaluating a novel automatic image annotation system using semantic-based visual information retrieval 209
- 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
- Editor’s biography 263
Kapitel in diesem Buch
- Frontmatter i
- Preface v
- Contents xi
- List of authors xix
-
Part I. Methods and techniques for mining biomedical literature and electronic health records
- 1. Application of text mining to biomedical knowledge extraction: analyzing clinical narratives and medical literature 3
- 2. Unlocking information in electronic health records using natural language processing: a case study in medication information extraction 33
- 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
-
Part II. Machine Learning Techniques for Mining Medical Search Queries and Health-Related Social Media Posts and Tweets
- 4. Predicting dengue incidence in Thailand from online search queries that include weather and climatic variables 77
- 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
- 6. Twitter for health – building a social media search engine to better understand and curate laypersons’ personal experiences 133
-
Part III. Using speech and audio technologies for improving access to online content for the computer-illiterate and the visually impaired
- 7. An empirical study of user satisfaction with a health dialogue system designed for the Nigerian low-literate, computer-illiterate, and visually impaired 177
- 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
-
Part IV. Visual data: new methods and approaches to mining radiographic image data and video metadata
- 9. Information extraction from medical images: evaluating a novel automatic image annotation system using semantic-based visual information retrieval 209
- 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
- Editor’s biography 263