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Engineering - Computational Intelligence and Complexity | Biomedical Informatics - Discovering Knowledge in Big Data

Biomedical Informatics

Discovering Knowledge in Big Data

Holzinger, Andreas

2014, XIX, 551 p. 210 illus., 164 illus. in color. With online files/update.

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  • Examines the main concepts of bioinformatics and provides up to date pointers for using bioinformatics
  • Includes exercise sets at the end of each chapter to test concepts introduced
  • Includes two new sections to each chapter, "future outlook and research avenues" and "key problems"

This book provides a broad overview of the topic Bioinformatics (medical informatics + biological information) with a focus on data, information and knowledge. From data acquisition and storage to visualization, privacy, regulatory, and other practical and theoretical topics, the author touches on several fundamental aspects of the innovative interface between the medical and computational domains that form biomedical informatics. Each chapter starts by providing a useful inventory of definitions and commonly used acronyms for each topic, and throughout the text, the reader finds several real-world examples, methodologies, and ideas that complement the technical and theoretical background. Also at the beginning of each chapter a new section called "key problems", has been added, where the author discusses possible traps and unsolvable or major problems. This new edition includes new sections at the end of each chapter, called "future outlook and research avenues," providing pointers to future challenges.

Content Level » Graduate

Keywords » Biomedical Data - Biomedical Databases & Information Retrieval - Biomedical Decision Making, Reasoning & Decision Support - Biomedical Informatics - Biomedical Information - Biomedical Knowledge - Computational Sciences and Life Sciences - Interactive Information Visualization & Visual Analytics - Medical Data - Medical Data Mining & Knowledge Discovery - Medical Informatics - Medical Information - Medical Privacy, Safety & Security - Medical System Design, Usability & Evaluation - Medical knowledge - Structured, weakly structured and unstructured biomedical data

Related subjects » Bioinformatics - Biomedical Engineering - Computational Intelligence and Complexity - Systems Biology and Bioinformatics

Table of contents 

Introduction Computer Science meets Life Science: Challenges & Future Directions.- Back to the Future: Fundamentals of Data, Information and Knowledge.- Structured Data: Coding & Classification.- Biomedical Databases: Acquisition, Storage, Information Retrieval and Use.- Semi-structured/weakly-structured Data and Structural Homologies.- Multimedia Data Mining & Knowledge Discovery.- Knowledge and Decision: Cognitive Science & Human–Computer Interaction.- Biomedical Decision Making: Reasoning & Decision Support.- Intelligent Data/Information Visualization & Visual Analytics.- Biomedical Information Systems and Medical Knowledge Management.- Biomed Data: Privacy, Safety & Security.- Methodology for Info Systems: System Design, Usability & Evaluation.- Index.- References.

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