Fuzzy Logic in Medicine

1. Front Matter

   Pages I-X

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2. A Call for a Stronger Role for Fuzzy Logic in Medicine

   • Senén Barro, Roque Marín

   Pages 1-17

3. Fuzzy Information Granulation of Medical Images. Blood Vessel Extraction from 3-D MRA Images

   • S. Kobashi, Y. Hata, L. O. Hall

   Pages 18-35

4. Breast Cancer Classification Using Fuzzy Central Moments

   • H. D. Cheng, Y. G. Hu, D. L. Hung, C. Y. Wu

   Pages 36-52

5. Awareness Monitoring and Decision-Making for General Anaesthesia

   • D. A. Linkens, M. F. Abbod, J. K. Backory

   Pages 53-82

6. Depth of Anesthesia Control with Fuzzy Logic

   • Xu-Sheng Zhang, Johnnie W. Huang, Rob J. Roy

   Pages 83-112

7. Intelligent Alarms for Anaesthesia Monitoring Based on a Fuzzy Logic Approach

   • A. Jungk, B. Thull, G. Rau

   Pages 113-138

8. Fuzzy Clustering in Medicine: Applications to Electrophysiological Signal Processing

   • Amir B. Geva, Dan H. Kerem

   Pages 139-176

9. Fuzzy Logic in a Decision Support System in the Domain of Coronary Heart Disease Risk Assessment

   • Alfons Schuster, Kenneth Adamson, David A. Bell

   Pages 177-204

10. A Model-based Temporal Abductive Diagnosis Model for an Intensive Coronary Care Unit

    • J. T. Palma, R. Marín, J. L. Sánchez, F. Palacios

    Pages 205-235

11. A Fuzzy Model for Pattern Recognition in the Evolution of Patients

    • Paulo Félix, Senén Barro, Manuel Lama, Santiago Fraga, Francisco Palacios

    Pages 236-258

12. Mass Assignment Methods for Medical Classification Diagnosis

    • Jim F. Baldwin, Carla Hill, Christiane Ponsan

    Pages 259-285

13. Acquisition of Fuzzy Association Rules from Medical Data

    • Miguel Delgado, Daniel Sánchez, Maria-Amparo Vila

    Pages 286-310

To say that Fuzzy Logic in Medicine, or FLM for short, is an important addi­ tion to the literature of fuzzy logic and its applications, is an understatement. Edited by two prominent informaticians, Professors S. Barro and R. Marin, it is one of the first books in its field. Between its covers, FLM presents authoritative expositions of a wide spectrum of medical and biological ap­ plications of fuzzy logic, ranging from image classification and diagnostics to anaesthesia control and risk assessment of heart diseases. As the editors note in the preface, recognition of the relevance of fuzzy set theory and fuzzy logic to biological and medical systems has a long history. In this context, particularly worthy of note is the pioneering work of Profes­ sor Klaus Peter Adlassnig of the University of Vienna School of Medicine. However, it is only within the past decade that we began to see an accelerat­ ing growth in the visibility and importance of publications falling under the rubric of fuzzy logic in medicine and biology -a leading example of which is the Journal of the Biomedical Fuzzy Systems Association in Japan. Why did it take so long for this to happen? First, a bit of history.

• Radiologieinformationssystem
• anesthesia
• cancer
• classification
• cognition
• control
• decision support
• decision support system
• diagnosis
• evolution
• fuzzy
• fuzzy logic
• heart
• image processing
• pattern recognition

• Department of electronics and Computer Science, University of Santiago de Compostela, Santiago de Compostela, Spain

  Senén Barro

• AI and Knowledge Engineering Group, School of Computer Science, University of Murcia, Murcia, Spain

  Roque Marín

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