Knowledge base for the development of an intelligent assistant to a phthisiatrician for managing treatment process of patients with pulmonary tuberculosis
https://doi.org/10.25881/18110193_2023_2_58
Abstract
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 pharmacotherapy, makes the development of an intellectual assistant for a TB doctor highly anticipated. Such an assistant would help a doctor processing a large amount of information about the patient, drugs he takes. It would also offer an informed decision in administering chemotherapy regimen and it’s timely changes in case of detection of drug resistance of Mycobacterium tuberculosis.
About the Authors
V. V. Gribova
Federal State Budgetary Institution “Institute of Automation and Control Processes” of the Far Eastern Institute of the RAS Branch
Russian Federation
Russian Federation
Gribova V.V., Corresponding Member of the RAS, DSc, Deputy Director for Research
Vladivostok
E. A. Borodulina
FSBEI HE SamSMU
Russian Federation
Russian Federation
BORODULINA E.A., DSc, Prof
Samara
D. B. Okun
Federal State Budgetary Institution “Institute of Automation and Control Processes” of the Far Eastern Institute of the RAS Branch
Russian Federation
Russian Federation
OKUN D.B., PhD, IACP
Vladivostok
E. P. Eremenko
FSBEI HE SamSMU
Russian Federation
Russian Federation
EREMENKO E.P., PhD,
Samara
R. I. Kovalev
Federal State Budgetary Institution “Institute of Automation and Control Processes” of the Far Eastern Institute of the RAS Branch
Russian Federation
Russian Federation
KOVALEV, R.I.
Vladivostok
B. E. Borodulin
FSBEI HE SamSMU
Russian Federation
Russian Federation
BORODULIN B.E., DSc, Prof.
Samara
E. A. Amosova
FSBEI HE SamSMU
Russian Federation
Russian Federation
AMOSOVA E.A., PhD
Samara
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Review
For citations:
Gribova V.V., Borodulina E.A., Okun D.B., Eremenko E.P., Kovalev R.I., Borodulin B.E., Amosova E.A. Knowledge base for the development of an intelligent assistant to a phthisiatrician for managing treatment process of patients with pulmonary tuberculosis. Medical Doctor and Information Technologies. 2023;(2):58-69. (In Russ.) https://doi.org/10.25881/18110193_2023_2_58
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