Open AccessApplication of artificial neural networks to detect bone remodeling changes in diabetes mellitus
Author(s) -
S. S. Safarova
Publication year - 2019
Publication title -
medicinskij alfavit
Language(s) - English
Resource type - Journals
eISSN - 2949-2807
pISSN - 2078-5631
DOI - 10.33667/2078-5631-2019-2-21(396)-43-46
Subject(s) - bone remodeling , artificial neural network , diabetes mellitus , fragility , identification (biology) , computer science , task (project management) , artificial intelligence , medicine , machine learning , engineering , endocrinology , biology , chemistry , botany , systems engineering
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.