MOBILE APP FOR DIABETES TYPE 1 MONITORING DEVELOPED FOR IMPROVED UX

Loading...
Thumbnail Image

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