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2014 | Buch

Biomedical Informatics

Discovering Knowledge in Big Data

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Über dieses Buch

This book provides a broad overview of the topic Bioinformatics with focus on data, information and knowledge. From data acquisition and storage to visualization, ranging through privacy, regulatory and other practical and theoretical topics, the author touches several fundamental aspects of the innovative interface between Medical and Technology domains that is 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. This new edition includes new sections at the end of each chapter, called "future outlook and research avenues," providing pointers to future challenges. 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.

Inhaltsverzeichnis

Frontmatter
Lecture 1 Introduction: Computer Science Meets Life Science
Abstract
At the end of this first lecture, you:
  • would be fascinated to see our world in data.
  • would have a basic understanding of the building blocks of life.
  • would be familiar with some differences between Life Sciences and Computer Sciences.
  • would be aware of some possibilities and some limits of Biomedical Informatics.
  • would have some ideas of some future directions of Biomedical Informatics.
Andreas Holzinger
Lecture 2 Fundamentals of Data, Information, and Knowledge
Abstract
would be aware of the types and categories of different datasets in biomedical informatics.
Andreas Holzinger
Lecture 3 Structured Data: Coding and Classification
Abstract
At the end of the third lecture, you:
Andreas Holzinger
Lecture 4 Biomedical Databases: Acquisition, Storage, Information Retrieval, and Use
Abstract
At the end of this lecture, you:
Andreas Holzinger
Lecture 5 Semi-structured, Weakly Structured, and Unstructured Data
Abstract
At the end of this fourth lecture, you:
  • would have acquired background knowledge on some issues in standardization and structurization of data;
  • would have a general understanding of modeling knowledge in medicine and biomedical informatics;
  • would get some basic knowledge on medical Ontologies and be aware of the limits, restrictions, and shortcomings of them;
  • would know the basic ideas and the history of the International Classification of Diseases (ICD);
  • would have a view on the Standardized Nomenclature of Medicine Clinical Terms (SNOMED CT);
  • would have some basic knowledge on Medical Subject Headings (MeSH);
  • would be able to understand the fundamentals and principles of the Unified Medical Language System (UMLS).
Andreas Holzinger
Lecture 6 Multimedia Data Mining and Knowledge Discovery
Abstract
At the end of this sixth lecture you:
Andreas Holzinger
Lecture 7 Knowledge and Decision: Cognitive Science and Human–Computer Interaction
Abstract
At the end of the seventh lecture, you…
Andreas Holzinger
Lecture 8 Biomedical Decision Making: Reasoning and Decision Support
Abstract
At the end of the eighth lecture, you:
Andreas Holzinger
Lecture 9 Interactive Information Visualization and Visual Analytics
Abstract
At the end of this ninth lecture, you…
Andreas Holzinger
Lecture 10 Biomedical Information Systems and Medical Knowledge Management
Abstract
After the end of this tenth lecture, you…
Andreas Holzinger
Lecture 11 Biomedical Data: Privacy, Safety, and Security
Abstract
After this lecture, you…
Andreas Holzinger
Lecture 12 Methodology for Information Systems: System Design, Usability, and Evaluation
Abstract
At the end of this last lecture, you
Andreas Holzinger
Backmatter
Metadaten
Titel
Biomedical Informatics
verfasst von
Andreas Holzinger
Copyright-Jahr
2014
Electronic ISBN
978-3-319-04528-3
Print ISBN
978-3-319-04527-6
DOI
https://doi.org/10.1007/978-3-319-04528-3