Medical Informatics Knowledge Management and Data Mining in Biomedicine /

Knowledge Management and Data Mining in Biomedicine covers the basic foundations of the area while extending the foundational material to include the recent leading-edge research in the field. The newer concepts, techniques, and practices of biomedical knowledge management and data mining are introd...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Chen, Hsinchun (Editor), Fuller, Sherrilynne S. (Editor), Friedman, Carol (Editor), Hersh, William (Editor)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer US : Imprint: Springer, 2005.
Edition:1st ed. 2005.
Series:Integrated Series in Information Systems, 8
Subjects:
Medical informatics.
Business information services.
Bioinformatics.
Computer networks .
Biomedical engineering.
Electronic commerce.
Health Informatics.
IT in Business.
Computer Communication Networks.
Biomedical Engineering and Bioengineering.
e-Commerce and e-Business.
Online Access:Texto Completo
Table of Contents:
  • Foundational Topics in Medical Informatics
  • Knowledge Management, Data Mining, and Text Mining in Medical Informatics
  • Mapping Medical Informatics Research
  • Bioinformatics Challenges and Opportunities
  • Managing Information Security and Privacy in Healthcare Data Mining
  • Ethical and Social Challenges of Electronic Health Information
  • Information and Knowledge Management
  • Medical Concept Representation
  • Characterizing Biomedical Concept Relationships
  • Biomedical Ontologies
  • Information Retrieval and Digital Libraries
  • Modeling Text Retrieval in Biomedicine
  • Public Access to Anatomic Images
  • 3D Medical Informatics
  • Infectious Diseaxe Informatics and Outbreak detection
  • Text Mining and Data Mining
  • Semantic Interpretation for the Biomedical Research Literature
  • Semantic Text Parsing for Patient Records
  • Identification of Biological Relationships from Text Documents
  • Creating, Modeling, and Visualizing Metabolic Networks
  • Gene Pathway Text Mining and Visualization
  • The Genomic Data Mine
  • Exploratory Genomic Data Analysis
  • Joint Learning Using Multiple Types of Data and Knowledge.

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