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Artificial Intelligence in Medicine: Expert Systems

โœ Scribed by Marius Fieschi (auth.)


Publisher
Springer US
Year
1990
Tongue
English
Leaves
177
Edition
1
Category
Library

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โœฆ Synopsis


Expert systems constitute a research area which is currently expanding. This book is based largely on work undertaken for my doctoral thesis and attempts to set out in readily understood language the different methods of knowledge representation used in different systems. Howยญ ever, since the field for applications is enormous and touches on many disciplines (engineering science, computing, geology, medicine etc.) only those systems with medical applications are presented. The second part of this book is devoted to detailed discussion of one expert system developed in this department: SPHINX. I wish to thank all those who have given me their support, their criticisms and suggestions: Dominique Fieschi, Michel Joubert, Genevieve Botti, Michel Roux, Jean-Louis Lauriere, as well as the CNRS which supported the ATP Expert Systems Group with an individual grant. Marius Fieschi Foreword This work deals with 'Expert Systems' in the realm of medicine. The phrase 'Expert System' describes an information system not only in terms of its content but also in terms of its application. As with all generic terms, it is condensed to the point where the meaning cannot be guessed from simply reading it. It concerns systems processing knowledge and behaviour in ways close to those of a human expert. In the field of medicine this expert would be the consultant or specialist to whom a family practitioner refers a 'case' which he is unable to diagnose. The study of expert systems is a branch of computer science called artificial intelligence.

โœฆ Table of Contents


Front Matter....Pages i-xvi
Front Matter....Pages 1-1
Medical reasoning and artificial intelligence: general presentation of the problem....Pages 3-10
Representation and use of the knowledge....Pages 11-47
Front Matter....Pages 49-49
The SPHINX system....Pages 51-91
Examples of applications....Pages 92-105
The SPHINX system environment....Pages 106-110
Front Matter....Pages 111-111
Validation of the expert systems....Pages 113-119
A crucial problem: validation of the knowledge base....Pages 120-127
Validation of a SPHINX knowledge base: some supplementary elements....Pages 128-135
Back Matter....Pages 136-166

โœฆ Subjects


Artificial Intelligence (incl. Robotics); Medicine/Public Health, general


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