Healthify-Based Health Support Automation Running on Multiple Mobile Operating Systems
Healthify is a mobile application that aims to make the elements that users can follow in the field of health easier rather than more difficult, by incorporating similar functions into its own, based on the functions of complex applications. The general purpose of Healthify is to bring together important elements in the field of health, such as appointments, medicines, and hospitals, that need to be reminded, and that can be considered the foundation of the field of health, with users as easily as possible. In this context, the target audience of the Healthify application includes everyone from the age of 7 to 70 who wants to follow their own activities in the field of health. Since the application is planned to appeal to everyone, the application content is designed in a clear, simple and understandable way so that both young people and elderly individuals with little experience in using mobile applications can easily use the features in the application in the field of health. The Healthify application was developed with the "crossplatform" application development technology "React-Native" in order to work on the "iOS" and "Android" operating systems, which have gained a very important place in the mobile application market today, and thus it has been ensured that it can work on mobile devices with both operating systems. At the same time, a "web-dashboard" section written in PHP was created for the "back-end" side of the Healthify application, and thanks to this "dashboard”, the "log" and statistical information of users registered in the application are kept in order to develop the application. In addition, in order for the mobile application to be completely dynamic, the integrity of the data of the mobile application with dynamic data was ensured thanks to the use of "web-socket" and web-mobile communication. The dynamic data used in the Healthify application was collected in "APIs”, organized on the "back-end" side and transferred to the mobile application side.
Authors
- Gökhan Uçkan
- Engin Oğuzay
- Hasan Kaçar
- Engin Kızılyar
- Batuhan Demiray
Institutions
- Maltepe University (TR)
- Pamukkale University (TR)
Publication Details
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1109/isas66241.2025.11101904
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00