| Evolutionary computation in medicine: an overview. | |
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MedLine Citation:
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PMID: 10767613 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The term evolutionary computation encompasses a host of methodologies inspired by natural evolution that are used to solve hard problems. This paper provides an overview of evolutionary computation as applied to problems in the medical domains. We begin by outlining the basic workings of six types of evolutionary algorithms: genetic algorithms, genetic programming, evolution strategies, evolutionary programming, classifier systems, and hybrid systems. We then describe how evolutionary algorithms are applied to solve medical problems, including diagnosis, prognosis, imaging, signal processing, planning, and scheduling. Finally, we provide an extensive bibliography, classified both according to the medical task addressed and according to the evolutionary technique used. |
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Authors:
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C A Peña-Reyes; M Sipper |
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Publication Detail:
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Type: Journal Article; Review |
Journal Detail:
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Title: Artificial intelligence in medicine Volume: 19 ISSN: 0933-3657 ISO Abbreviation: Artif Intell Med Publication Date: 2000 May |
Date Detail:
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Created Date: 2000-06-09 Completed Date: 2000-06-09 Revised Date: 2005-11-16 |
Medline Journal Info:
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Nlm Unique ID: 8915031 Medline TA: Artif Intell Med Country: NETHERLANDS |
Other Details:
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Languages: eng Pagination: 1-23 Citation Subset: IM |
Affiliation:
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Logic Systems Laboratory, Swiss Federal Institute of Technology, IN-Ecublens, CH-1015, Lausanne, Switzerland. carlos.pena@epfl.ch |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Artificial Intelligence* Evolution* Genetics Medical Informatics Computing |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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