Intelligent Data Analysis in Medicine and Pharmacology / Edition 1
by Nada LavracIntelligent 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.
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 | ||
| 1 | Intelligent data analysis in medicine and pharmacology: An overview | 1 |
| 2 | Time-oriented analysis of high-frequency data in ICU monitoring | 17 |
| 3 | Context-sensitive temporal abstraction of clinical data | 37 |
| 4 | Temporal abstraction of medical data: Deriving periodicity | 61 |
| 5 | Cooperative intelligent data analysis: An application to diabetic patients management | 81 |
| 6 | Ptah: A system for supporting nosocomial infection therapy | 99 |
| 7 | Prognosing the survival time of patients with anaplastic thyroid carcinoma using machine learning | 115 |
| 8 | Data analysis of patients with severe head injury | 131 |
| 9 | Dementia screening with machine learning methods | 149 |
| 10 | Experiments with machine learning in the prediction of coronary artery disease progression | 167 |
| 11 | Noise elimination applied to early diagnosis of rheumatic diseases | 187 |
| 12 | Diterpene structure elucidation from [superscript 13]C NMR-spectra with machine learning | 207 |
| 13 | Using Inductive Logic Programming to learn rules that identify glaucomatous eyes | 227 |
| 14 | Carcinogenesis predictions using Inductive Logic Programming | 243 |
| 15 | Concept discovery by decision table decomposition and its application in neurophysiology | 261 |
| 16 | Classification of human brain waves using self-organizing maps | 279 |
| 17 | Applying a neural network to prostate cancer survival data | 295 |
| Index | 307 |
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