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On super strategies of intelligent systems of the JSM type for evidence-based medicine

On super strategies of intelligent systems of the JSM type for evidence-based medicine This article discusses supplementary premises for making up rules of plausible inference (induction) of the JSM method for the automated generation of hypotheses. These are conditions characterizing the presence/absence of necessary and significant parameters in generated hypotheses. Negation of these supplementary premises generates new rules with the “suspicious” type of truth value. Modified rules of induction in the JSM method make up strategies for generating hypotheses for the interactive choice of necessary and significant parameters in intelligent systems for evidence-based medicine. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

On super strategies of intelligent systems of the JSM type for evidence-based medicine

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Publisher
Springer Journals
Copyright
Copyright © 2011 by Allerton Press, Inc.
Subject
Computer Science; Information Storage and Retrieval
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/S0005105511060021
Publisher site
See Article on Publisher Site

Abstract

This article discusses supplementary premises for making up rules of plausible inference (induction) of the JSM method for the automated generation of hypotheses. These are conditions characterizing the presence/absence of necessary and significant parameters in generated hypotheses. Negation of these supplementary premises generates new rules with the “suspicious” type of truth value. Modified rules of induction in the JSM method make up strategies for generating hypotheses for the interactive choice of necessary and significant parameters in intelligent systems for evidence-based medicine.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Jan 27, 2012

References