Medical Informatics

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 introduced and examined in detail. It is the research and applications in these areas that are raising the technical horizons and expanding the utility of informatics to an increasing number of biomedical professionals and researchers. These concepts and techniques are illustrated with detailed case studies. TOC:Introduction.- Mapping Medical Informatics Research.- Bioinformatics Challenges.- Medical Concept Representation.- Standards in Medical Informatics.- Information Retrieval and Digital Library.- Genomics Information Retrieval.- Managing Information Security and Privacy in Health Care.- Ethical and Social Challenges in Medical Informatics.- Characterizing Biomedical Concept Relationships.- Anatomic Images for the Public -3D Medical Informatics.- Medical Ontologies.- Semantic Parsing and Knowledge Representation in Biomedicine.- Semantic Text Parsing for Patient Records.- Identification of Biological Relationships from Text Documents.- Creating, Modeling and Visualizing Metabolic Networks: FCModeler and PathBinder for Network Modeling and Creation.- Gene Pathway Text Mining and Visualization.- The Genomic Data Mine.- Exploratory Genomic Data Analysis.- Joint Learning Using Data and Text Mining.- Disease Informatics and Outbreak Detection.