Loading…

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...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Shatkay, Hagit (Author), Craven, Mark (Author)
Format: Electronic eBook
Language:Inglés
Published: Cambridge, Mass. : MIT Press, ©2012.
Series:Computational molecular biology.
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.