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Please use this identifier to cite or link to this item: http://dspace.bsuedu.ru/handle/123456789/67424
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dc.contributor.authorLabeb Abood-
dc.date.accessioned2026-10-22T09:37:40Z-
dc.date.available2026-10-22T09:37:40Z-
dc.date.issued2023-
dc.identifier.citationLabeb Abood. Estimating the approximate necessity of essential medicines in Syria using machine learning / Abood Labeb // Software Engineering Application in Systems Design: Proceedings of 6th Computational Methods in Systems and Software 2022, Prague, Czech Republic, 13-19 October 2022 / eds.: R. Silhavy, P. Silhavy, Z. Prokopova. - Cham, 2023. - Vol.1.-P. 670-679. - (Lecture Notes in Networks and Systems; vol. 596). - Refer.: p. 678-679.ru
dc.identifier.urihttp://dspace.bsuedu.ru/handle/123456789/67424-
dc.description.abstractThis article focuses on the estimation of the approximate necessity of essential medicines in the Syrian Arab Republicru
dc.language.isoenru
dc.subjectmedicineru
dc.subjectsocial medicineru
dc.subjecthealthcare organizationru
dc.subjectessential medicineru
dc.subjectmachine learningru
dc.subjectartificial intelligenceru
dc.subjectSyrian healthcare systemru
dc.titleEstimating the approximate necessity of essential medicines in Syria using machine learningru
dc.typeArticleru
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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