Computational Intelligence Processing in Medical Diagnosis

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...

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Bibliographic Details
Other Authors: Schmitt, Manfred (Editor), Teodorescu, Horia-Nicolai (Editor), Jain, Ashlesha (Editor), Jain, Ajita (Editor)
Format: eBook
Language:English
Published: Heidelberg Physica 2002, 2002
Edition:1st ed. 2002
Series:Studies in Fuzziness and Soft Computing
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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505 0 |a 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 
653 |a Health Informatics 
653 |a Bioinformatics 
653 |a Computational and Systems Biology 
653 |a Medical informatics 
653 |a Artificial Intelligence 
653 |a Artificial intelligence 
700 1 |a Teodorescu, Horia-Nicolai  |e [editor] 
700 1 |a Jain, Ashlesha  |e [editor] 
700 1 |a Jain, Ajita  |e [editor] 
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520 |a 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