Журнал «Современная Наука»

Russian (CIS)English (United Kingdom)
 MOSCOW +7(495)-142-86-81

Design of medical decision support system

Astafyev Andrey Nikolaevich  (Assistant, Lipetsk State Technical University)

Gerashchenko Sergey Ivanovich  (Doctor of technical Sciences, Professor, Penza State University)

Sharapov Sergey Ivanovich  (Candidate of physical and mathematical Sciences, associate Professor, Lipetsk State Technical University)

An important aspect of assessing the reliability of medical results obtained using the methods and means of a clinical laboratory is the use of decision support systems to confirm the diagnosis. To improve the effectiveness of treatment of patients with hepatitis, the present work presents a modified hybrid model of a deep trust network. Assessing the effectiveness of treatment in this study is tracking the changes in the patient’s condition over time and can be used to assess the condition over certain periods. To train a modified model of a deep trust network, reference state data obtained by analyzing medical publications are used. Learning a modified deep trust network involves two steps, the first of which adopts a contrast divergence algorithm for optimizing hidden parameters in pre-training mode, while the second determines the output weight vector by the least squares method. Experimental results show that the proposed hybrid model based on a deep confidence network has good performance when applied in a decision support system. The general structure of a decision support system model for the medical task of assessing the severity of hepatitis is proposed.

Keywords:neural network, data classification, decision support system, prognosis of treatment
 

Read the full article …

Citation link:
Astafyev A. N., Gerashchenko S. I., Sharapov S. I. Design of medical decision support system // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2019. -№12. -С. 46-53
LEGAL INFORMATION:
Reproduction of materials is permitted only for non-commercial purposes with reference to the original publication. Protected by the laws of the Russian Federation. Any violations of the law are prosecuted.
© ООО "Научные технологии"

Terms Publications

Issues of the journals (Archive)

ECONOMICS AND LAW
HUMANITIES
NATURAL AND TECHNICAL SCIENCES
COGNITION

Серия - Natural and Technical Sciences