Biomedical Informatics
Discovering Knowledge in Big Data
1st Edition
Published on 6. May 2014
XIX, 551 pages
978-3-319-04528-3 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Primary & secondary/elementary & high school
Product notice
Reflowable
Illustrations
XIX, 551 p. 210 illus., 164 illus. in color.
File size
17,82 MB
ISBN-13
978-3-319-04528-3 (9783319045283)
DOI
10.1007/978-3-319-04528-3
Schweitzer Classification
Other editions
New editions
Edward H. Shortliffe | James J. Cimino | Michael F. Chiang
Biomedical Informatics
Computer Applications in Health Care and Biomedicine
E-Book
05/2021
5th Edition
Springer
€106.99
Available for download
Additional editions
Book
05/2014
2nd Edition
Springer
€53.49
Shipment within 10-15 days
Person
Dr. Holzinger is Head of Research Unit HCI4MED, Institute of Medical Informatics, Statistics and Documentation, Medical University Graz and is an Assoc. Prof. for Information Processing, Faculty of Informatics, Graz University of Technology; Lecturer for Biomedical Informatics, Faculty of Electrical Engineering, Graz University of Technology.
Content
Introduction: Computer Science meets Life Science.- Fundamentals of Data, Information and Knowledge.- Structured Data: Coding and Classification.- Biomedical Databases: Acquisition, Storage, Information Retrieval and Use.- Multimedia Data Mining and Knowledge Discovery.- Knowledge and Decision: Cognitive Science and Human-Computer Interaction.- Biomedical Decision Making: Reasoning and Decision Support.- Interactive Information Visualization and Visual Analytics.- Biomedical Information Systems and Medical Knowledge Management.- Biomedical Data: Privacy, Safety and Security.- Methodology for Information Systems: System Design, Usability and Evaluation.
