Intelligent Data Analysis in Medicine and Pharmacology / Edition 1

Intelligent Data Analysis in Medicine and Pharmacology / Edition 1

by Nada Lavrac
     
 

ISBN-10: 0792380002

ISBN-13: 9780792380009

Pub. Date: 10/26/2007

Publisher: Springer US

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…  See more details below

Overview

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 Intelligent Data Analysis in Medicine and Pharmacology 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.

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Product Details

ISBN-13:
9780792380009
Publisher:
Springer US
Publication date:
10/26/2007
Series:
Springer International Series in Engineering and Computer Science, #414
Edition description:
1997
Pages:
310
Product dimensions:
9.21(w) x 6.14(h) x 0.75(d)

Table of Contents

Preface
Contributing Authors
1Intelligent data analysis in medicine and pharmacology: An overview1
2Time-oriented analysis of high-frequency data in ICU monitoring17
3Context-sensitive temporal abstraction of clinical data37
4Temporal abstraction of medical data: Deriving periodicity61
5Cooperative intelligent data analysis: An application to diabetic patients management81
6Ptah: A system for supporting nosocomial infection therapy99
7Prognosing the survival time of patients with anaplastic thyroid carcinoma using machine learning115
8Data analysis of patients with severe head injury131
9Dementia screening with machine learning methods149
10Experiments with machine learning in the prediction of coronary artery disease progression167
11Noise elimination applied to early diagnosis of rheumatic diseases187
12Diterpene structure elucidation from [superscript 13]C NMR-spectra with machine learning207
13Using Inductive Logic Programming to learn rules that identify glaucomatous eyes227
14Carcinogenesis predictions using Inductive Logic Programming243
15Concept discovery by decision table decomposition and its application in neurophysiology261
16Classification of human brain waves using self-organizing maps279
17Applying a neural network to prostate cancer survival data295
Index307

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