medalphabetМедицинский алфавитMedical alphabet2078-56312949-2807ООО «Альфмед»10.33667/2078-5631-2019-2-21(396)-43-46medalphabet-1235Research ArticleСтатьиПрименение искусственных нейронных сетей для выявления изменений костного ремоделирования при сахарном диабетеApplication of artificial neural networks to detect bone remodeling changes in diabetes mellitusСафароваС. С.SafarovaS. S.

к. м. н, доцент

г. Баку

Baku

Азербайджанский медицинский университетАзербайджанAzerbaijan Medical UniversityAzerbaijan201925112019221Обозрение4346Copyright © Сафарова С.С., 20192019Сафарова С.С.Safarova S.S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.med-alphabet.com/jour/article/view/1235

В статье рассматривается задача идентификации показателей, указывающих на состояние метаболических процессов в костной ткани с применением разработанной методики построения системы поддержки принятия решений на основе искусственной нейронной сети. Разработана методика расчета детерминант риска, помогающая врачу в ранней диагностике для принятия обоснованного решения на основе выявления сдвигов метаболических процессов в костной ткани, увеличивающих риск развития низкотравматических переломов при сахарном диабете.

This paper describes the task of authentication of bone turnover indicators using the developed method of building a decision support system based on an artificial neural network. A method has been developed for the calculation of risk determinants, which helps the physician in early diagnosis to make an informed decision, based on the identification of changes in bone turnover that increased risk of fragility fractures in diabetes mellitus.

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The authors declare that there are no conflicts of interest present.