MOBILE APP FOR DIABETES TYPE 1 MONITORING DEVELOPED FOR IMPROVED UX
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Date
2024-05-01
Authors
Tuishieva, Aigerim
Syurmen, Yussufkadir
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Engineering and Digital Sciences
Abstract
Our 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.
Description
Keywords
Type of access: Open access, Diabetes, Machine Learning, UX, Mobile app
Citation
Tuishieva, A., Syurmen, Y. (2024). Mobile App for Diabetes Type 1 Monitoring Developed for Improved UX. Nazarbayev University School of Engineering and Digital Sciences