Citation

Haque, Radiah and Ho, Sin Ban and Chai, Ian (2022) Machine Learning Techniques for Weather-based Healthcare. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Text 27.RADIAH HAQUE.pdf - Submitted Version Restricted to Registered users only Download (2MB)

Abstract

Weather-Based Healthcare (WBH) means self-management of chronic diseases that are affected by weather, such as asthma. Weather triggers, including temperature, humidity, air pressure, wind, and UV, cause asthma exacerbation. Nevertheless, weather impact is specific to individual asthmatics depending on their demographic characteristics such as age, gender, and the extent of exposure to the potential weather triggers in their location. Thus, there is a need for a solution that can offer predictions of asthma exacerbation based on demography and weather triggers and provide tailored feedback for asthma self-management with personalisation.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Machine Learning
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	20 Dec 2022 02:46
Last Modified:	20 Dec 2022 02:46
URII:	http://shdl.mmu.edu.my/id/eprint/10944

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