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New Approaches to the JSM Method in Obstetrics and Gynecology Research

New Approaches to the JSM Method in Obstetrics and Gynecology Research An intellectual system has been created that implements the JSM method of automated research support for the task of predicting the risk of pelvic organ prolapse in women with a history of birth through the birth canal. Methods for expanding fact bases are applied. For the first time, a lattice of strategies formed by predicates of simple similarity, difference, and similarity-difference (a, ad0, ad2) has been implemented and an algorithm for optimizing the replenishment of the fact base that uses the value of explainability has been proposed. Three experiments that were carried out according to the same scheme are described; in the second experiment, noise was removed when analyzing a subset of the initial data. New tasks have been formulated that allow further improvement of research results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

New Approaches to the JSM Method in Obstetrics and Gynecology Research

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Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2021. ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2021, Vol. 55, No. 4, pp. 140–151. © Allerton Press, Inc., 2021. Russian Text © The Author(s), 2021, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2021, No. 7, pp. 7–18.
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/s000510552104004x
Publisher site
See Article on Publisher Site

Abstract

An intellectual system has been created that implements the JSM method of automated research support for the task of predicting the risk of pelvic organ prolapse in women with a history of birth through the birth canal. Methods for expanding fact bases are applied. For the first time, a lattice of strategies formed by predicates of simple similarity, difference, and similarity-difference (a, ad0, ad2) has been implemented and an algorithm for optimizing the replenishment of the fact base that uses the value of explainability has been proposed. Three experiments that were carried out according to the same scheme are described; in the second experiment, noise was removed when analyzing a subset of the initial data. New tasks have been formulated that allow further improvement of research results.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Jul 1, 2021

Keywords: JSM method; artificial intelligence; prognosis; empirical patterns; pelvic organ prolapse; labor

References