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Intelligent System for Early Detection and Prediction of Cardiovascular Disease Risk

dc.contributor.otherDepartment of Computer Systems
dc.date.accessioned2024-12-16T14:46:28Z
dc.date.available2024-12-16T14:46:28Z
dc.description.abstractThe aim of this project is to develop mathematical methods, algorithms and software to identify and classify hidden associations with complex structures in early detection, diagnosis and risk prediction of cardiovascular diseases.en_US
dc.identifier.urihttps://tuit-demo.gcris.com/handle/123456789/43
dc.subjectdata miningen_US
dc.subjectpredictingen_US
dc.subjectdiagnosingen_US
dc.subjectcardiovascular diseaseen_US
dc.subjectmultimorbidityen_US
dc.titleIntelligent System for Early Detection and Prediction of Cardiovascular Disease Risken_US
dspace.entity.typeProject
project.acronymCVD-Risk Prediction
project.amount1 500 000 000
project.amount.currencyUZS
project.coinvestigatorDilnoz Muhamedieva
project.coordinatorCharos Khidirova
project.description.URLhttps://cardiodiag.uz
project.endDate2023
project.funder.nameMinistry of Higher Education, Science and Innovation of the Republic of Uzbekistan
project.funder.programProject competition “Women Scientists”
project.grant.duration24 months
project.identifier.grantIL-402104506
project.investigatorKhidirova, Charos
project.partner.organizationsRepublican Specialized Cardiology Research and Practice Medical Center
project.principalinvestigatorCharos Khidirova
project.startDate2021
project.statusCompleted, submitted and confirmed
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relation.isOrgUnitOfProject.latestForDiscoverye0c21cc1-f5c2-4f30-947e-68c75168496a
relation.isPersonOfProject5901946d-6cc2-44f3-9e95-696c93e1bb87
relation.isPersonOfProject.latestForDiscovery5901946d-6cc2-44f3-9e95-696c93e1bb87

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