http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (xxxvii, 668 pages) : illustrations
This second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. Principles of Biomedical Informatics, 2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: .tree structured data, interval trees, and time-oriented medical data and their use . On Line Application Processing (OLAP), an old database idea that is only recently coming of age and finding surprising importance in biomedical informatics a discussion of nursing knowledge and an example of encoding nursing advice in a rule-based system X-ray physics and algorithms for cross-sectional medical image reconstruction, recognizing that this area was one of the most central to the origin of biomedical computing .an introduction to Markov processes, and an outline of the elements of a hospital IT security program, focusing on fundamental ideas rather than specifics of system vulnerabilities or specific technologies. It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields. As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation. The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling.
""Half Title""; ""Title Page""; ""Copyright""; ""Dedication""; ""Contents""; ""Preface to the Second Edition ""; ""Foreword from the First Edition ""; "" Preface from the First Edition ""; ""List of Figures""; ""List of Tables""; ""1 Biomedical Data""; ""1.1 The Nature and Representation of Biomedical Data""; ""1.1.1 What Can Be Represented in a Computer?""; ""1.1.2 Cells, DNA, Proteins, and the Genetic Code""; ""1.1.2.1 The Fundamental Dogma of Molecular Biology""; ""1.1.2.2 Representing DNA in Computer Programs""; ""1.1.2.3 FASTA Files and Reading Multiple Records""; ""1.1.3 Anatomy""
""1.1.4 Medical Laboratory Data""""1.1.5 Medical Images""; ""1.1.6 Metadata""; ""1.1.6.1 Tags As Metadata""; ""1.1.6.2 Source Code As Metadata""; ""1.1.6.3 Data, not Variables, Have Types""; ""1.2 Objects, Metadata, and Serialization""; ""1.2.1 A Simple Solution Using Tags (Keywords)""; ""1.2.2 An Object-Oriented Design""; ""1.2.2.1 Object-oriented Programming in Lisp""; ""1.2.2.2 A Redesign Using Classes""; ""1.2.3 A Better Solution Using Metaobjects""; ""1.2.4 Medical Images: Incorporating Binary Data""; ""1.2.4.1 Representing Image Data""; ""1.2.4.2 Reading and Writing Image Data""
""1.2.5 Drug Interactions: Organizing Drugs into Classes""""1.2.5.1 Drug Information Catalogs""; ""1.2.5.2 Procedural Knowledge About Enzymatic Metabolism""; ""1.2.6 XML""; ""1.3 Database Concepts and Systems""; ""1.3.1 The Relational Model""; ""1.3.1.1 A Brief Introduction to SQL""; ""1.3.1.2 Normalization""; ""1.3.1.3 Constraints and Keys""; ""1.3.1.4 Relational Algebra""; ""1.3.1.5 The Catalog, Metadata, and Object-Oriented Databases""; ""1.3.2 Indexing and Tree Structures""; ""1.3.2.1 Binary Search on Arrays""; ""1.3.2.2 Binary Search Trees""; ""1.3.2.3 Hash Tables""
""1.3.3 Time-Oriented Data and Interval Trees""""1.3.3.1 Constructing intervals from results""; ""1.3.3.2 Constructing an interval tree from intervals""; ""1.3.3.3 Queries and searching the interval tree""; ""1.3.4 The Entity-Attribute-Value (EAV) Model""; ""1.3.5 Online Analytical Processing (OLAP)""; ""1.3.5.1 Background""; ""1.3.5.2 OLAP fundamentals and an example""; ""1.3.5.3 Dimensions""; ""1.3.5.4 Cubes""; ""1.3.5.5 Tuples and measures""; ""1.3.5.6 Queries and the Multi-dimensional Expression Language""; ""1.3.5.7 Dihedral Angles: Query Results""
""1.3.5.8 Clinical trial feasibility: a second example""""1.4 Data Quality""; ""1.5 Data, Information, and Knowledge""; ""1.6 Summary""; ""1.7 Exercises""; ""2 Symbolic Biomedical Knowledge""; ""2.1 Biomedical Theories and Computer Programs""; ""2.1.1 A World Class Reasoning Example""; ""2.1.2 Biological Examples""; ""2.1.3 Symbolic Theories""; ""2.2 Logic and Inference Systems""; ""2.2.1 Predicate Calculus""; ""2.2.1.1 Truth and Consequences""; ""2.2.1.2 Inference Rules""; ""2.2.1.3 Theorems and Proofs""; ""2.2.1.4 Automated Proof Methods""
Includes bibliographical references and index.
Amsterdam ; Boston ; Heidelberg ; London ; New York ; Oxford ; Paris ; San Diego ; San Francisco ; Singapore ; Sydney ; Tokyo : Elsevier, [2013]