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.

The authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health and Science University In addition, individual expert contributing authors have been commissioned to write chapters for the book on their respective topical expertise The newer concepts, techniques, and practices of biomedical knowledge management and data mining are introduced and examined in detail The editors have developed a book that will compliment the popular introductory medical informatics textbooks and could provide a comprehensive, understandable, and up-to-date review of the recent advances in biomedical informatics Includes supplementary material: sn.pub/extras