Kids Library Home

Welcome to the Kids' Library!

Search for books, movies, music, magazines, and more.

     
Available items only
E-Books/E-Docs
Author Shatkay, Hagit, author.

Title Mining the biomedical literature / Hagit Shatkay and Mark Craven.

Imprint Cambridge, Mass. : MIT Press, ©2012.

Copies

Location Call No. OPAC Message Status
 Axe EBSCO Clinical Nursing E-Book  Electronic Book    ---  Available
Description 1 online resource (xii, 138 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
data file
Series Computational molecular biology
Computational molecular biology.
Bibliography Includes bibliographical references and index.
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.
Summary 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 has traditionally been acquired by thousands of scientists through decades of experimentation and analysis. The current abundance of biomedical data is accompanied by the creation and quick dissemination of new information. Much of this information and knowledge, however, is represented only in text form - in the biomedical literature, lab notebooks, Web pages, and other sources. Researchers' need to find relevant information in the vast amounts of text has created a surge of interest in automated text-analysis. In this book, Hagit Shatkay and Mark Craven offer a concise and accessible introduction to key ideas in biomedical text mining. The chapters cover such topics as the relevant sources of biomedical text ; text-analysis methods in natural language processing ; the tasks of information extraction, information retrieval, and text categorization ; and methods for empirically assessing text-mining systems. Finally, the authors describe several applications that recognize entities in text and link them to other entities and data resources, support the curation of structured databases, and make use of text to enable further prediction and discovery.
Note Print version record.
Subject Medical literature -- Data processing.
Biological literature -- Data processing.
Data mining.
Medical informatics.
Bioinformatics.
Information storage and retrieval systems -- Medicine.
Information storage and retrieval systems -- Biology.
Content analysis (Communication)
Information retrieval.
Data Mining
Information Storage and Retrieval
Medical Informatics
Computational Biology
Médecine -- Documentation -- Informatique.
Biologie -- Documentation -- Informatique.
Exploration de données (Informatique)
Médecine -- Informatique.
Bio-informatique.
Systèmes d'information -- Médecine.
Systèmes d'information -- Biologie.
Analyse de contenu (Communication)
Recherche de l'information.
subject analysis.
information retrieval.
MEDICAL -- Allied Health Services -- Medical Technology.
MEDICAL -- Biotechnology.
MEDICAL -- Family & General Practice.
MEDICAL -- Lasers in Medicine.
TECHNOLOGY & ENGINEERING -- Biomedical.
Bioinformatics (OCoLC)fst00832181
Content analysis (Communication) (OCoLC)fst00876639
Data mining (OCoLC)fst00887946
Information retrieval (OCoLC)fst00972619
Information storage and retrieval systems -- Biology (OCoLC)fst00972808
Information storage and retrieval systems -- Medicine (OCoLC)fst00972956
Medical informatics (OCoLC)fst01014175
Medical literature -- Data processing (OCoLC)fst01014351
Indexed Term BIOMEDICAL SCIENCES/Quantitative Biology
BIOMEDICAL SCIENCES/General
Genre/Form Electronic books.
Added Author Craven, Mark, author.
Other Form: Print version: Shatkay, Hagit. Mining the biomedical literature. Cambridge, Mass. : MIT Press, ©2012 9780262017695 (DLC) 2011047751 (OCoLC)767825007
ISBN 9780262305167 (electronic bk.)
026230516X (electronic bk.)
1283550067
9781283550062
9780262017695
0262017695
Standard No. 9786613862518
AU@ 000051284669
DEBBG BV040834385
DEBBG BV042509047
DEBBG BV043043967
DEBBG BV044186931
DEBSZ 421364157
NZ1 14692438

 
    
Available items only