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Articles from rubric: «Medical decision support systems»

    2018
  • 2018 № 1 Intelligent decision supports system in prediction of difficult tracheal intubation

    The article presents the results of developing an intellectual decision support system for predicting the risk of difficult tracheal intubation. It’s described the principles of an artificial neural network’s construction and training, on the basis of which it was created a model of a classifier implemented as a computer application. It’s estimated the relevance of the created program as the high effective, convenient and trained

    Authors: Aidaraliev A. A. [1] Volkovich O. V. [1] Mirkin E. L. [1] Nezhinskikh S. S. [1] Moldobaeva N. T. [1]

    Tags: artificial neural networks2 difficult tracheal intubation1 intelligent decision supports system1 prognosis1

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  • 2018 № 1 Methods of intellectual support of physician-researcher’s work in the study of the zones of ischemic brain injury and movement of mesenchymal stem cells

    The article considers methods of automatic isolation and analysis of zones of ischemic brain injury of a labo- ratory animal (rat) and methods for analyzing the characteristics of transplanted mesenchymal stem cells migration. The initial information for the analysis is the data of magnetic resonance imaging. The developed methods are designed to support the decision-making of physician-researchers

    Authors: Fralenko V. P. [1] Shustova M. V. [1] Khachumov M. V. [1]

    Tags: informa- tive parameters1 magnetic resonance imaging1 mesenchymal stem cells1 migration paths1 volume of ischemic injury1

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  • 2017
  • 2017 № 2 Patient adherence level evaluation system.

    The present paper deals with intellectual systems for patient’s level adherence determination and evaluation. The most popular novadays techniques for adherence evaluation is interview. We advise new automation approach – the system which compares direct pation data with treatment plan using fuzzy logic and standard ISO 13606. For this research data entered by users. Next step is sensor device including for thr purposes of patinet’s adherence determination. The results can be useful for healthcare providers with lind-term patients.

    Authors: Taranik M. A. [2] Kopanitsa. G. D. [5]

    Tags: adherence1 fuzzy inference1 intellectual system2 iso 136061

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  • 2017 № 2 Automation of differential diagnostics of craniocerebral trauma.

    The authors are proposed a model of create expert systems to support decision making in emergency medical Neurology and Neurosurgery. The model assumes a symbiosis of clinical and expert approaches in the formation of the attribute space.

    Authors: Nemkov A. G. [2] Sannikov. A. G. [5]

    Tags: automation of diagnostics1 craniocerebral trauma2 medical expert system1

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  • 2017 № 2 Clinical Decisions Support in medical information systems of a medical organization.

    In the article the review of various possibilities of support of acceptance of medical decisions in medical information systems of the medical organizations is presented. The description of functional requirements and prospects in terms of increasing the effectiveness of medical information systems in the informatization of clinical work of doctors.

    Authors: Zarubina T. V. [5] Gusev A. V. [8]

    Tags: dss3 medical decisions support systems1 medical information systems9

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  • 2017 № 1 Expert systems in the prediction of operational risk for the most common surgical interventions (review).

    The review is focused on the applications of medical expert systems in abdominal surgery. Reviewed and described existing models of decision support systems for medical decisions in patients with such common diseases as acute pancreatitis, acute cholecystitis, complicated peptic ulcer disease. The authors conducted a comparative analysis of modern expert systems and described the basic principles of their construction

    Authors: Bogdanovа Y. A. [1] Zaripova G. R. [1] Kataev V. A. [1] O. V Galimov. [1]

    Tags: acute pancreatitis1 artificial neural networks2 expert systems3 peritonitis1

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  • 2016
  • 2016 № 5 Fuzzy in clinical medicine and the need to reflect in expert systems.

    At the paper considered of physician problems at describing of subjective clinical characteristics for which there is no single and consistent opinion (certainty factor). Point out to reflection of patients and physicians to describe them. It sets out methods for their formal presentation with the use of logical-linguistic scales and expert certainty factors for creating expert systems.

    Authors: Kobrinskii. B. A. [6]

    Tags: certainty factor1 fuzzy expert systems1 fuzzy logic2 linguistic scale1 medical diagnostic1 not-factors1 reflection1

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  • 2016 № 5 Results of the expert systems comparison for diagnostics of acute pharyngeal diseases.

    The description of the development of expert system (ES) of differential diagnostics of acute pharyngeal diseases based on different mathematical algorithms; «Portrait method», «Naiv Bayes classificator» (NBC), «Artificial Neuron Nets» (ANN) is presented in this article. Randonization of 476 of completed clinical cases with acute pharyngeal diseases, paratonsilitis, parapharyngitis, acute tonsillitis, acute pharyngitis is used. The technology of ES development is described. The clinical evaluation showed that ES based on «Portrait method» gives wrong diagnoses for whole list of diagnosed diseases by 8.40%. ES checking based on NBC in the clinical practice revealed differences in diagnoses in 47,6% of cases but developed ES «Program using for differential diagnosis of acute pharyngeal diseases «LOR-Neuro» showed high clinical efficiency in 96% of cases.

    Authors: Sannikov. A. G. [5] Yastremsky A. P. [2] Izvin A. I. [1] Sokolovsky N. S. [1] Zaharov. S. D. [1]

    Tags: atrificial neuron nets1 expert systems3 mathematical algorithms1 naiv bayes classificatory1 portrait method1

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  • 2016 № 1 Modernization of automated system of manager’s informing (ASMI).

    The analysis of the opportunities and the necessary changes in the software for operational decision-making, preparation of various reports and certificates in healthcare is presented.

    Authors: Starodubov V. I. [5] Polikarpov A. V. [3] Golubev N. A. [2] Lisnenko. A. A. [1]

    Tags: annual report of medical statistics1 asmi system1 medical statistics5

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  • 2015
  • 2015 № 1 Predicting the risk of postoperative complications in traumatic injuries of the pancreas.

    The article is devoted to the problem of surgical treatment of traumatic injuries of the pancreas. Namely, identify significant risk factors for postoperative complications based on multivariate statistical analysis by logistic regression. The authors compiled prediction model specific postoperative complications with high rates of consent and clinical significance.

    Authors: Sannikov. A. G. [5] Schneider V. E. [1]

    Tags: mathematical modeling1 pancreas1 postoperative complications1 predicting1 risk factors5 traumatic injuries1

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