Computational Intelligence Processing in Medical Diagnosis

Author:: Manfred Schmitt; Horia-Nicolai Teodorescu
Format:: Hardcover

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Short description

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.

Long description

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.

Product details

Editor:: Manfred Schmitt; Ajita Jain; Ashlesha Jain; Sandhya Jain; L.C. Jain; H-.N. Teodorescu
Publisher:: Physica-Verlag HD
ISBN:: 9783790814637
Publication date:: January 2002
Length:: 238mm
Width:: 160mm
Thickness:: 34mm
Weight:: 880g
Pages:: 516
Illustrations:: Illustrated
Readership:: Professional & scholarly

Introduction * Computational intelligence techniques in medical decision making
the data mining perspective * Internet
based decision support for evidence
based medicine * Integrating kernel methods into a knowledge
based approach to evidence
based medicine * Case
based reasoning prognosis for temporal courses * Pattern recognition in intensive care online monitoring * Artificial neural network models for timely assessment of trauma complication risk * Artificial neural networks in medical diagnosis * The application of neural networks in the classification of the electrocardiogram * Neural network predictions of significant coronary artery stenosis in women * A modular neural network system for the analysis of nuclei in histopathological sections * Septic shock diagnosis by neural networks and rule based systems * Monitoring depth of anesthesia * Combining evolutionary and fuzzy techniques in medical diagnosis * Genetic algorithms for feature selection in computer
aided diagnosis