Citation

Yik, Reynard Kok Jin and Ho, Sin Ban and Tan, Chuie Hong (2024) Improving the prediction resolution time for mobile Eczema support system. In: 3rd International Conference on Computer, Information Technology, and Intelligent Computing (CITIC2023), 26–28 July 2023, Virtual Conference.

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Abstract

Atopic dermatitis, often known as eczema, is a skin ailment marked by red lumps and itching. The disorder can be unpleasant and have an impact on the look of the afflicted body parts. While eczema is rarely life-threatening, it can result in skin infections if left untreated for an extended length of time. Getting medical treatment from dermatologists is critical for controlling the symptoms, as well as a mobile healthcare tool may help track the condition’s progression. The goal of this project is to develop a user-friendly smartphone application that will allow users to track their eczema symptoms on a daily basis. The application will routinely download weather information from the Open Weather API and allow users to register and track their skin condition, creating a report that can be shared with medical experts during their future visits. The application will have Patient Oriented Eczema Measure (POEM) which includes seven questions for eczema patients to measure the severity of their skin condition. The application will be built with development tools such as Visual Studio Code, Flutter, Android Studio, and Firebase. With the help of POEM feedback from the users and the weather information from OpenWeather API the application will be able to improve the prediction resolution time for user to see when it is safe for doing outdoor activities and how to track their skin condition from time to time.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Aug 2024 06:01
Last Modified:	01 Aug 2024 06:01
URII:	http://shdl.mmu.edu.my/id/eprint/12710

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