MOBILE APP FOR DIABETES TYPE 1 MONITORING DEVELOPED FOR IMPROVED UX

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dc.contributor.authorTuishieva, Aigerim
dc.contributor.authorSyurmen, Yussufkadir
dc.date.accessioned2024-06-24T09:38:10Z
dc.date.available2024-06-24T09:38:10Z
dc.date.issued2024-05-01
dc.description.abstractOur project aimed at improving functionalities of mobile apps dedicated to people with diabetes to help users with their diabetes management and decrease attrition rate. Ultimately, we developed a cross-platform mobile app with three completely novel features: drag & drop data logging, incorporated an ML model for visualization of diabetes data and a rule-based chatbot for monitoring the diabetes progress. Finally, we evaluated the app by collecting responses from a person with T1D (one of the team members’ younger brother, who is 19 years old) on a questionnaire.en_US
dc.identifier.citationTuishieva, A., Syurmen, Y. (2024). Mobile App for Diabetes Type 1 Monitoring Developed for Improved UX. Nazarbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7986
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectType of access: Open accessen_US
dc.subjectDiabetesen_US
dc.subjectMachine Learningen_US
dc.subjectUXen_US
dc.subjectMobile appen_US
dc.titleMOBILE APP FOR DIABETES TYPE 1 MONITORING DEVELOPED FOR IMPROVED UXen_US
dc.typeBachelor's thesis, capstone projecten_US
workflow.import.sourcescience

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