Haque, Radiah and Ho, Sin-Ban and Chai, Ian and Abdullah, Adina (2022) Investigating the impacts of weather and personalisation on asthma exacerbations using machine learning. In: 11th International Conference on Software and Computer Applications, ICSCA 2022, 24-26 February 2022, Virtual, Online.
Full text not available from this repository.Abstract
This paper reports the results of investigating the impacts of weather and personalisation on asthma exacerbations. Additionally, several machine learning classification algorithms were applied and evaluated to develop an intelligent mHealth solution that can offer accurate personalised estimations of asthma exacerbations based on weather and demography and provide tailored precautionary guidelines for selfcare to each user. Consequently, the proposed solution will enhance asthma self-management by assisting patients with chronic asthma to plan their daily outdoor activities and limit exposure to weather triggers, thus controlling their asthma exacerbations. © 2022 ACM.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Demography; Diseases; Health care; Learning algorithms; Learning systems; Asthma self-management; Classification algorithm; Machine learning classification; Machine-learning; Neural-networks; Outdoor activities; Personalizations; Self management; Self-care; Machine learning |
| Subjects: | R Medicine |
| Divisions: | Faculty of Medicine > Primary Care Medicine Department |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 20 Feb 2025 06:58 |
| Last Modified: | 20 Feb 2025 06:58 |
| URI: | http://eprints.um.edu.my/id/eprint/43517 |
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