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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Corporate Author: SpringerLink (Online service)
Other Authors: Chen, Hsinchun (Editor), Fuller, Sherrilynne S. (Editor), Friedman, Carol (Editor), Hersh, William (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 2005, 2005
Edition:1st ed. 2005
Series:Integrated Series in Information Systems
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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