Intelligent Data Analysis in Medicine and Pharmacology - The Springer International Series in Engineering and Computer Science 414 (Paperback)
  • Intelligent Data Analysis in Medicine and Pharmacology - The Springer International Series in Engineering and Computer Science 414 (Paperback)
zoom

Intelligent Data Analysis in Medicine and Pharmacology - The Springer International Series in Engineering and Computer Science 414 (Paperback)

(editor), (editor), (editor)
£188.50
Paperback 310 Pages / Published: 13/10/2012
  • We can order this

Usually dispatched within 3 weeks

  • This item has been added to your basket
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.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781461377757
Number of pages: 310
Weight: 516 g
Dimensions: 235 x 155 x 17 mm
Edition: Softcover reprint of the original 1st ed. 199

You may also be interested in...

Algorithms
Added to basket
£66.49
Hardback
The End of Error
Added to basket
Algorithms Unlocked
Added to basket
Gynaecology: Evidence-Based Algorithms
Added to basket
Generative Art
Added to basket
£25.99
Paperback
Understanding Cryptography
Added to basket
Introduction to Algorithms
Added to basket
Purely Functional Data Structures
Added to basket
Machine Learning
Added to basket
£39.99
Paperback
Understanding Cryptography
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.