Application of artificial neural networks to detect bone remodeling changes in diabetes mellitus
https://doi.org/10.33667/2078-5631-2019-2-21(396)-43-46
Abstract
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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Review
For citations:
Safarova S.S. Application of artificial neural networks to detect bone remodeling changes in diabetes mellitus. Medical alphabet. 2019;2(21):43-46. (In Russ.) https://doi.org/10.33667/2078-5631-2019-2-21(396)-43-46
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