Computational Intelligence Processing in Medical Diagnosis

1. Front Matter

   Pages i-xx

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2. An Introduction to Computational Intelligence in Medical Diagnosis

   • H.-N. Teodorescu, L. C. Jain

   Pages 1-11

3. Computational Intelligence Techniques in Medical Decision Making: the Data Mining Perspective

   • V. Maojo, J. Sanandres, H. Billhardt, J. Crespo

   Pages 13-44

4. Internet-Based Decision Support for Evidence-Based Medicine

   • J. Simpson, J. K. C. Kingston, N. Molony

   Pages 45-70

5. Integrating Kernel Methods into a Knowledge-Based Approach to Evidence-Based Medicine

   • K. Morik, T. Joachims, M. Imhoff, P. Brockhausen, S. Rüping

   Pages 71-100

6. Case-Based Reasoning Prognosis for Temporal Courses

   • R. Schmidt, L. Gierl

   Pages 101-128

7. Pattern Recognition in Intensive Care Online Monitoring

   • R. Fried, U. Gather, M. Imhoff

   Pages 129-172

8. Artificial Neural Network Models for Timely Assessment of Trauma Complication Risk

   • R. P. Marble, J. C. Healy

   Pages 173-195

9. Artificial Neural Networks in Medical Diagnosis

   • Y. Fukuoka

   Pages 197-228

10. The Application of Neural Networks in the Classification of the Electrocardiogram

    • C. D. Nugent, J. A. Lopez, N. D. Black, J. A. C. Webb

    Pages 229-260

11. Neural Network Predictions of Significant Coronary Artery Stenosis in Women

    • B. A. Mobley, W. E. Moore, E. Schechter, J. E. Eichner, P. A. McKee

    Pages 261-290

12. A Modular Neural Network System for the Analysis of Nuclei in Histopathological Sections

    • C. S. Pattichis, F. Schnorrenberg, C. N. Schizas, M. S. Pattichis, K. Kyriacou

    Pages 291-322

13. Septic Shock Diagnosis by Neural Networks and Rule Based Systems

    • R. Brause, F. Hamker, J. Paetz

    Pages 323-356

14. Monitoring Depth of Anesthesia

    • J. W. Huang, X.-S. Zhang, R. J. Roy

    Pages 357-389

15. Combining Evolutionary and Fuzzy Techniques in Medical Diagnosis

    • C. A. Peña-Reyes, M. Sipper

    Pages 391-426

16. Genetic Algorithms for Feature Selection in Computer-Aided Diagnosis

    • B. Sahiner, H. P. Chan, N. Petrick

    Pages 427-484

17. Back Matter

    Pages 485-496

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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.

• artificial intelligence
• biomedical engineering
• classification
• computational intelligence
• data mining
• diagnosis
• evolution
• expert system
• fuzzy
• fuzzy system
• fuzzy systems
• intelligence
• knowledge base
• medicine
• neural networks

• Technical University of Munich, München, Germany

  Manfred Schmitt

• Romanian Academy, Bucharest, Romania

  Horia-Nicolai Teodorescu

• The Queens Elizabeth Hospital, Woodville, Adelaide, Australia

  Ashlesha Jain

• Bellevue Residential Care Centre, Bellevue Heights, Adelaide, Australia

  Ajita Jain

• Julia Farr Services, Adelaide, Australia

  Sandyha Jain

• Knowledge-Based Intelligent, Engineering Systems Centre, University of South Australia, Mawson Lakes, Adelaide, Australia

  Lakhmi C. Jain

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