The Springer International Series in Engineering and Computer Science

Intelligent Data Analysis in Medicine and Pharmacology

Editors: Lavrač, Nada, Keravnou-Papailiou, Elpida, Zupan, Blaz (Eds.)

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  • ISBN 978-1-4615-6059-3
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About this book

Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly increasing number of submissions and participants at related conferences and workshops, by the emergence of new journals in this area (e.g., Data Mining and Knowledge Discovery, Intelligent Data Analysis, etc.), and by the increasing number of new applications in this field. In our view, the awareness of these challenging research fields and emerging technologies has been much larger in industry than in medicine and pharmacology. The main purpose of this book is to present the various techniques and methods that are available for intelligent data analysis in medicine and pharmacology, and to present case studies of their application.
Intelligent Data Analysis in Medicine and Pharmacology consists of selected (and thoroughly revised) papers presented at the First International Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-96) held in Budapest in August 1996 as part of the 12th European Conference on Artificial Intelligence (ECAI-96), IDAMAP-96 was organized with the motivation to gather scientists and practitioners interested in computational data analysis methods applied to medicine and pharmacology, aimed at narrowing the increasing gap between excessive amounts of data stored in medical and pharmacological databases on the one hand, and the interpretation, understanding and effective use of stored data on the other hand. Besides the revised Workshop papers, the book contains a selection of contributions by invited authors.
The expected readership of the book is researchers and practitioners interested in intelligent data analysis, data mining, and knowledge discovery in databases, particularly those who are interested in using these technologies in medicine and pharmacology. Researchers and students in artificial intelligence and statistics should find this book of interest as well. Finally, much of the presented material will be interesting to physicians and pharmacologists challenged by new computational technologies, or simply in need of effectively utilizing the overwhelming volumes of data collected as a result of improved computer support in their daily professional practice.

Table of contents (17 chapters)

  • Intelligent Data Analysis In Medicine And Pharmacology: An Overview

    Lavrač, Nada (et al.)

    Pages 1-13

  • Time-Oriented Analysis of High-Frequency Data in ICU Monitoring

    Miksch, Silvia (et al.)

    Pages 17-36

  • Context-Sensitive Temporal Abstraction of Clinical Data

    Shahar, Yuval

    Pages 37-59

  • Temporal Abstraction of Medical Data: Deriving Periodicity

    Keravnou, Elpida T.

    Pages 61-79

  • Cooperative Intelligent Data Analysis: An Application to Diabetic Patients Management

    Bellazzi, Riccardo (et al.)

    Pages 81-98

Buy this book

eBook $219.00
price for USA (gross)
  • ISBN 978-1-4615-6059-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $279.00
price for USA
  • ISBN 978-0-7923-8000-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $279.00
price for USA
  • ISBN 978-1-4613-7775-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Intelligent Data Analysis in Medicine and Pharmacology
Editors
  • Nada Lavrač
  • Elpida Keravnou-Papailiou
  • Blaz Zupan
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
414
Copyright
1997
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-6059-3
DOI
10.1007/978-1-4615-6059-3
Hardcover ISBN
978-0-7923-8000-9
Softcover ISBN
978-1-4613-7775-7
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XXI, 310
Topics