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Methods in Biomedical Informatics : a Pragmatic Approach

Author: Indra Neil Sarkar
Publisher: London : Academic Press, [2014] ©2014
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Sarkar, Indra Neil.
Methods in Biomedical Informatics : A Pragmatic Approach.
Burlington : Elsevier Science, ©2013
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Indra Neil Sarkar
ISBN: 9780124016842 0124016847
OCLC Number: 861528369
Language Note: Text in English.
Description: 1 online resource (589 pages) : illustrations (some color)
Contents: Chapter 1. Introduction / Indra Neil Sarkar --
chapter 2. Data integration : an overview / Prakash M. Nadkarni and Luis N. Marenco --
chapter 3. Knowledge representation / Mark A. Musen --
chapter 4. Hypothesis generation from heterogeneous datasets / Yves A. Lussier and Haiquan Li --
chapter 5. Geometric representations in biomedical informatics : applications in automated text analysis / Trevor Cohen and Dominic Widdows --
chapter 6. Biomedical natural language processing and text mining / Kevin Bretonnel Cohen --
chapter 7. Knowledge discovery in biomedical data : theory and methods / John H. Holmes --
chapter 8. Bayesian methods in biomedical data analysis / Hsun-Hsien Chang and Gil Alterovitz --
chapter 9. Learning classifier systems : the rise of genetics-based machine learning in biomedical data mining / Ryan J. Urbanowicz and Jason H. Moore --
chapter 10. Engineering principles in biomedical informatics / Riccardo Bellazzi, Matteo Gabetta, and Giorgio Leonardi --
chapter 11. Biomedical informatics methods for personalized medicine and participatory health / Fernando Martin-Sanchez, Guillermo Lopez-Campos, and Kathleen Gray --
chapter 12. Linking genomic and clinical data for discovery and personalized care / Joshua C. Denny and Hua Xu --
chapter 13. Putting theory into practice / Indra Neil Sarkar.
Responsibility: edited by Indra Neil Sarkar.

Abstract:

Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, this title provides a practical  Read more...

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