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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| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg ; New York :
Physica-Verlag,
[2002]
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| Series: | Studies in fuzziness and soft computing ;
volume 96. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 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.