Artificial Intelligence in Medicine [electronic resource] : Expert Systems /

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. How­ 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.

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Main Authors: Fieschi, Marius. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Boston, MA : Springer US : Imprint: Springer, 1990
Subjects:Computer science., Medicine., Artificial intelligence., Computer Science., Artificial Intelligence (incl. Robotics)., Medicine/Public Health, general.,
Online Access:http://dx.doi.org/10.1007/978-1-4899-3428-4
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institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Computer science.
Medicine.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Medicine/Public Health, general.
Computer science.
Medicine.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Medicine/Public Health, general.
spellingShingle Computer science.
Medicine.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Medicine/Public Health, general.
Computer science.
Medicine.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Medicine/Public Health, general.
Fieschi, Marius. author.
SpringerLink (Online service)
Artificial Intelligence in Medicine [electronic resource] : Expert Systems /
description 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. How­ 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.
format Texto
topic_facet Computer science.
Medicine.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Medicine/Public Health, general.
author Fieschi, Marius. author.
SpringerLink (Online service)
author_facet Fieschi, Marius. author.
SpringerLink (Online service)
author_sort Fieschi, Marius. author.
title Artificial Intelligence in Medicine [electronic resource] : Expert Systems /
title_short Artificial Intelligence in Medicine [electronic resource] : Expert Systems /
title_full Artificial Intelligence in Medicine [electronic resource] : Expert Systems /
title_fullStr Artificial Intelligence in Medicine [electronic resource] : Expert Systems /
title_full_unstemmed Artificial Intelligence in Medicine [electronic resource] : Expert Systems /
title_sort artificial intelligence in medicine [electronic resource] : expert systems /
publisher Boston, MA : Springer US : Imprint: Springer,
publishDate 1990
url http://dx.doi.org/10.1007/978-1-4899-3428-4
work_keys_str_mv AT fieschimariusauthor artificialintelligenceinmedicineelectronicresourceexpertsystems
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spelling KOHA-OAI-TEST:2104112018-07-30T23:42:18ZArtificial Intelligence in Medicine [electronic resource] : Expert Systems / Fieschi, Marius. author. SpringerLink (Online service) textBoston, MA : Springer US : Imprint: Springer,1990.engExpert 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. How­ 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.One Expert Systems in Medicine -- 1. Medical reasoning and artificial intelligence: general presentation of the problem -- 2. Representation and use of the knowledge -- Two Study of an Expert System -- 3. The SPHINX system -- 4. Examples of applications -- 5. The SPHINX system environment -- Three Validation -- 6. Validation of the expert systems -- 7. A crucial problem: validation of the knowledge base -- 8. Validation of a SPHINX knowledge base: some supplementary elements -- Appendix 1 Representation and use of knowledge: symbolic logic -- Appendix 2 Representation and use of knowledge: fuzzy sets and fuzzy logic -- Appendix 3 LISP coding of the MYCIN rules -- Appendix 4 Bayes’ theorem and credibility factors -- Appendix 5 Other medical systems which employ artificial intelligence methods -- References.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. How­ 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.Computer science.Medicine.Artificial intelligence.Computer Science.Artificial Intelligence (incl. Robotics).Medicine/Public Health, general.Springer eBookshttp://dx.doi.org/10.1007/978-1-4899-3428-4URN:ISBN:9781489934284