The mathematic model of lumbar spine osteochondrosis treatment decisions

The results of formalization of the decision-making logics in a field of osteochondrosis treatment are presented. The symptoms of the disease, determining the need for various methods of therapy, are selected. The mathematical model of lumbar spine state is developed. It allows to classify (recogniz...

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Main Authors: N. N. Masalitina, K. S. Kurochka, E. L. Tsitko
Format: Article
Language:Russian
Published: The United Institute of Informatics Problems of the National Academy of Sciences of Belarus 2019-03-01
Series:Informatika
Subjects:
Online Access:https://inf.grid.by/jour/article/view/352
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author N. N. Masalitina
K. S. Kurochka
E. L. Tsitko
author_facet N. N. Masalitina
K. S. Kurochka
E. L. Tsitko
author_sort N. N. Masalitina
collection DOAJ
description The results of formalization of the decision-making logics in a field of osteochondrosis treatment are presented. The symptoms of the disease, determining the need for various methods of therapy, are selected. The mathematical model of lumbar spine state is developed. It allows to classify (recognize) spine states requiring principally different treatments. Key descriptors determining the choice of a conservative or operative intervention have been identified. Solutions that can be fully and partially automated are identified.
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spelling doaj.art-033aa4eb9e324b6bac35b32b59e2c2472023-03-13T08:32:20ZrusThe United Institute of Informatics Problems of the National Academy of Sciences of BelarusInformatika1816-03012019-03-011612435477The mathematic model of lumbar spine osteochondrosis treatment decisionsN. N. Masalitina0K. S. Kurochka1E. L. Tsitko2Sukhoi State Technical University of Gomel, GomelSukhoi State Technical University of Gomel, GomelGomel State Medical University, GomelThe results of formalization of the decision-making logics in a field of osteochondrosis treatment are presented. The symptoms of the disease, determining the need for various methods of therapy, are selected. The mathematical model of lumbar spine state is developed. It allows to classify (recognize) spine states requiring principally different treatments. Key descriptors determining the choice of a conservative or operative intervention have been identified. Solutions that can be fully and partially automated are identified.https://inf.grid.by/jour/article/view/352mathematical modeldecision making supportclassificationpattern recognitionautomated diagnosticsostеochondrosisdegenerative-dystrophic diseaseslumbar spine
spellingShingle N. N. Masalitina
K. S. Kurochka
E. L. Tsitko
The mathematic model of lumbar spine osteochondrosis treatment decisions
Informatika
mathematical model
decision making support
classification
pattern recognition
automated diagnostics
ostеochondrosis
degenerative-dystrophic diseases
lumbar spine
title The mathematic model of lumbar spine osteochondrosis treatment decisions
title_full The mathematic model of lumbar spine osteochondrosis treatment decisions
title_fullStr The mathematic model of lumbar spine osteochondrosis treatment decisions
title_full_unstemmed The mathematic model of lumbar spine osteochondrosis treatment decisions
title_short The mathematic model of lumbar spine osteochondrosis treatment decisions
title_sort mathematic model of lumbar spine osteochondrosis treatment decisions
topic mathematical model
decision making support
classification
pattern recognition
automated diagnostics
ostеochondrosis
degenerative-dystrophic diseases
lumbar spine
url https://inf.grid.by/jour/article/view/352
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AT nnmasalitina mathematicmodeloflumbarspineosteochondrosistreatmentdecisions
AT kskurochka mathematicmodeloflumbarspineosteochondrosistreatmentdecisions
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