Computational Intelligence Processing in Medical Diagnosis

✍ Scribed by H.-N. Teodorescu, L. C. Jain (auth.), Professor Dr. Manfred Schmitt, Professor Horia-Nicolai Teodorescu, Dr. Ashlesha Jain, Ajita Jain, Dr. Sandyha Jain, Professor Lakhmi C. Jain (eds.)

Publisher: Physica-Verlag Heidelberg
Year: 2002
Tongue: English
Leaves: 513
Series: Studies in Fuzziness and Soft Computing 96
Edition: 1
Category: Library

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No coin nor oath required. For personal study only.

✦ Synopsis

Computational intelligence techniques are gaining momentum in the medical prognosis and diagnosis. This volume presents advanced applications of machine intelligence in medicine and bio-medical engineering. Applied methods include knowledge bases, expert systems, neural networks, neuro-fuzzy systems, evolvable systems, wavelet transforms, and specific internet applications. The volume is written in view of explaining to the practitioner the fundamental issues related to computational intelligence paradigms and to offer a fast and friendly-managed introduction to the most recent methods based on computer intelligence in medicine.

✦ Table of Contents

Front Matter....Pages i-xx
An Introduction to Computational Intelligence in Medical Diagnosis....Pages 1-11
Computational Intelligence Techniques in Medical Decision Making: the Data Mining Perspective....Pages 13-44
Internet-Based Decision Support for Evidence-Based Medicine....Pages 45-70
Integrating Kernel Methods into a Knowledge-Based Approach to Evidence-Based Medicine....Pages 71-100
Case-Based Reasoning Prognosis for Temporal Courses....Pages 101-128
Pattern Recognition in Intensive Care Online Monitoring....Pages 129-172
Artificial Neural Network Models for Timely Assessment of Trauma Complication Risk....Pages 173-195
Artificial Neural Networks in Medical Diagnosis....Pages 197-228
The Application of Neural Networks in the Classification of the Electrocardiogram....Pages 229-260
Neural Network Predictions of Significant Coronary Artery Stenosis in Women....Pages 261-290
A Modular Neural Network System for the Analysis of Nuclei in Histopathological Sections....Pages 291-322
Septic Shock Diagnosis by Neural Networks and Rule Based Systems....Pages 323-356
Monitoring Depth of Anesthesia....Pages 357-389
Combining Evolutionary and Fuzzy Techniques in Medical Diagnosis....Pages 391-426
Genetic Algorithms for Feature Selection in Computer-Aided Diagnosis....Pages 427-484
Back Matter....Pages 485-496

✦ Subjects

Health Informatics; Artificial Intelligence (incl. Robotics); Computer Appl. in Life Sciences

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