A Human-in-The-Loop context-aware system allowing the application of case-based reasoning for asthma management

Quinde, Mario, Khan, Nawaz, Augusto, Juan Carlos ORCID: https://orcid.org/0000-0002-0321-9150 and van Wyk, Aléchia ORCID: https://orcid.org/0000-0001-6823-088X (2019) A Human-in-The-Loop context-aware system allowing the application of case-based reasoning for asthma management. Duffy, Vincent G., ed. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications. In: 21st International Conference on Human-Computer Interaction (HCI International 2019), 26-31 July 2019, Orlando, USA. ISBN 9783030222185, e-ISBN 9783030222192. ISSN 0302-9743 [Conference or Workshop Item] (doi:10.1007/978-3-030-22219-2_10)

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Abstract

Determining the asthma health status of a person is a relevant task in the application of context-awareness and case-based reasoning for asthma management. As there are no devices that can track the asthma health status of a person constantly, it is necessary to use a Human-in-The-Loop (HiTL) approach for creating a solution able to associate their health status with context-related data. This research work proposes a system that implements the Asthma Control Questionnaire (ACQ) for determining the asthma health status of a person. The system links this health status to context-related data the person is exposed and creates the cases to be used by the CBR component of the system. The system is then evaluated by users from a usability perspective through the Health IT Usability Evaluation Model (Health-ITUEM).

Item Type: Conference or Workshop Item (Paper)
Additional Information: Paper published as:
Quinde M., Khan N., Augusto J.C., van Wyk A. (2019) A Human-in-The-Loop Context-Aware System Allowing the Application of Case-Based Reasoning for Asthma Management. In: Duffy V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications. HCII 2019. Lecture Notes in Computer Science, vol 11582. Springer, Cham
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 26575
Notes on copyright: The final authenticated version is available online at https://doi.org/10.1007/978-3-030-22219-2_10
Useful Links:
Depositing User: Nawaz Khan
Date Deposited: 13 May 2019 10:54
Last Modified: 15 Jun 2021 05:25
URI: https://eprints.mdx.ac.uk/id/eprint/26575

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