Mining the biomedical literature /
A concise introduction to fundamental methods for finding and extracting relevant information from the ever-increasing amounts of biomedical text available. The introduction of high-throughput methods has transformed biology into a data-rich science. Knowledge about biological entities and processes...
Call Number: | Libro Electrónico |
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Main Authors: | , |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Cambridge, Mass. :
MIT Press,
©2012.
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Series: | Computational molecular biology.
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Subjects: | |
Online Access: | Texto completo |
Table of Contents:
- Fundamental Concepts in Biomedical Text Analysis
- Information Retrieval
- Information Extraction
- Evaluation
- Putting it All Together : Current Applications and Future Directions.
- Intro
- Contents
- Acknowledgments
- Chapter 1. Introduction
- 1.1. What is biomedical text mining?
- 1.2. Example: The BRCA1 Pathway
- 1.3. Challenges in biomedical text mining
- Chapter 2. Fundamental Concepts in Biomedical Text Analysis
- 2.1. Biomedical text sources
- 2.2. Natural language concepts
- 2.3. Challenges in natural language processing
- 2.4. Natural language processing tasks
- 2.5. Biomedical vocabularies and ontologies
- 2.6. Summary
- Chapter 3. Information Retrieval
- 3.1. Example : The BRCA1 Pathway (Revisited)
- 3.2. Indexing, keywords, and Boolean queries
- 3.3. Similarity queries and the Vector Model
- 3.4. Beyond cosine-based similarity
- 3.5. Text categorization
- 3.6. Summary
- Chapter 4. Information Extraction
- 4.1. Named-entity recognition
- 4.2. Normalization of named entities
- 4.3. Relation extraction
- 4.4. Summary
- Chapter 5. Evaluation
- 5.1. Performance evaluation in text retrieval and extraction
- 5.2. Evaluation measures
- 5.3. Shared evaluation tasks
- 5.4. Summary
- Chapter 6 Putting It All Together : Current Applications and Future Directions
- 6.1. Recognizing and linking bioentities
- 6.2. Supporting database curation
- 6.3. Text as data : A gateway to discovery and prediction
- 6.4. Future directions
- References
- Index.