Email this article INTEGRATION OF DECISION SUPPORT SYSTEMS IN MEDICAL PRACTICE: PREDICTION OF OSTEOPOROSIS IN DIABETIC PATIENTS
- Authors: Safarova S.S.1
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Affiliations:
- Azerbaijan Medical University
- Issue: Vol 27, No 3 (2020)
- Pages: 60-64
- Section: Articles
- URL: https://journals.rcsi.science/1728-0869/article/view/35098
- DOI: https://doi.org/10.33396/1728-0869-2020-3-60-64
- ID: 35098
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Abstract
Currently, large amounts of information is available to clinical specialists ranging from clinical symptoms to various types of biochemical data and results of instrumental methods of diagnostics. In order to optimize decision making and to avoid treatment errors in medical practice, decision support systems based on artificial intelligence methods including artificial neural networks are becoming widely used in diagnostic procedures. Such systems allow increasing the efficiency of clinical analysis due to the processing of complex and interrelated medical data and integrating them into the results of diagnostics carried out by a clinician. This article describes the application of the methodology of artificial neural networks in medical diagnostics on the example of modeling and analyzing the risk of osteoporosis in diabetic patients.
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##article.viewOnOriginalSite##About the authors
S. S. Safarova
Azerbaijan Medical University
Email: dr.safarovas@gmail.com
кандидат медицинских наук, доцент кафедры внутренних болезней Baku, Azerbaijan
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