Articles filtered by author Gribova V.V..
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MD&IT №2 2023
Successful efforts made to reduce incidence of tuberculosis have not translated into improved cure rates which remain low. This is largely due to long time for diagnosis, formation of drug resistance of Mycobacterium tuberculosis during treatment, a large set of anti-TB drugs and adverse events during their use. Therapy regimens change and replace each other rapidly, clinical guidelines update more and more often.
This along with growing number of comorbidities of a patient, requiring multicomponent...
This along with growing number of comorbidities of a patient, requiring multicomponent...
MD&IT №3 2022
New measures to decrease the burden from cardiovascular morbidity are of great socio-economic importance. The aim of the study was to create artificial intelligence technology incorporating various methods and approaches for presenting and using knowledge to assess and predict individual risks of developing cardiovascular events. The following risk presenting models were used: scoring system, multivariate Weibull and logistic regression, artificial neural networks; an ontological approach for ex...
MD&IT №2 2021
Treatment of tuberculosis currently requires the consideration of many factors. Timeliness of initiation, comprehensive treatment, and its correction during long-term chemotherapy are fundamental in achieving a positive result in a patient’s recovery. The purpose of the work is to create a doctor’s assistant in the form of an intelligent service for managing the treatment process in order to improve the quality of treatment. To achieve this goal, a platform for implementing intelligent services ...
MD&IT №6 2020
The paper presents a cloud service for the formation of case records, the feature of which is a formal presentation of all entered patient data. A formal presentation of the case record is necessary for further processing of patient data by intelligent decision support services, as well as for obtaining new knowledge about the diagnosis and treatment of patients based on machine learning methods. The service is implemented on the medical portal of the IACPaaS cloud platform. The basic principles...