Investigating the impacts of weather and personalisation on asthma exacerbations using machine learning
Document Type
Conference Item
Publication Date
1-1-2022
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.
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
Divisions
primarycare
Publication Title
ACM International Conference Proceeding Series
Publisher
Association for Computing Machinery
Event Title
11th International Conference on Software and Computer Applications, ICSCA 2022
Event Location
Virtual, Online
Event Dates
24-26 February 2022
Event Type
conference