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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1777
DC FieldValueLanguage
dc.contributor.authorNguyen Hoang Quanen_US
dc.date.accessioned2024-02-16T04:28:39Z-
dc.date.available2024-02-16T04:28:39Z-
dc.date.issued2022-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/1777-
dc.description.abstractNowadays, organizations across domains are willing to record customer interactions with their products in order to identify trends, patterns, or anything else that will provide insight into their services and allow them to make proper decisions that will promote them to success and improve their overall performance. Data visualization allows one to analyze data and gain deep insights, then make rapid and efficient decisions since visuals are far easier for people to understand than raw data. This thesis will mainly focus on building data visualization for healthcare web applications. The visual data is constructed using regular web technologies. For front-end development, it uses Angular. For back-end development, Node-js with Sequelize ORM is used. Data is built based on OMOP data structure pattern and stored in the object-relational database system-PostgreSQL After nine weeks of work on this bachelor thesis, the visual data is completed and ready for deployment. Everything works properly according to the user's previously defined expectationsen_US
dc.language.isoenen_US
dc.publisherVietnamese-German University-
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectOMOP data structureen_US
dc.subjectSequelize ORMen_US
dc.subjectMedical weben_US
dc.titleExperimental study on OMOP data structure pattern and sequelize ORM for medical web application developmenten_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
Appears in Collections:Computer Science (CS)
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