Personalisation of context-aware solutions supporting asthma management

Quinde, Mario, Khan, Nawaz and Augusto, Juan Carlos ORCID logoORCID: https://orcid.org/0000-0002-0321-9150 (2018) Personalisation of context-aware solutions supporting asthma management. ICCHP 2018, Computers Helping People with Special Needs: 16th International Conference, ICCHP 2018, Linz, Austria, July 11-13, 2018, Proceedings, Part II. In: 16th International Conference on Computers Helping People with Special Needs, 11-13 July 2018, University of Linz, Austria. ISBN 9783319942735. ISSN 0302-9743 [Conference or Workshop Item] (doi:10.1007/978-3-319-94274-2_75)

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Abstract

Personalisation of asthma management plans is important because asthma patients experience different triggers and symptoms as a result of the high heterogeneity level of the condition. Although this makes context-awareness suitable to support asthma management, existing context-aware solutions do not allow patients to personalise their management plans. This research proposes an approach to develop context-aware solutions allowing the personalisation of asthma management plans. It is derived on the basis of the literature review and a qualitative research that includes both asthma patients and carers. A prototype to illustrate the application of the approach is demonstrated.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published as: Quinde M., Khan N., Augusto J.C. (2018) Personalisation of Context-Aware Solutions Supporting Asthma Management. In: Miesenberger K., Kouroupetroglou G. (eds) Computers Helping People with Special Needs. ICCHP 2018, Part II. Lecture Notes in Computer Science, vol 10897. Springer, Cham
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 24258
Notes on copyright: This is a post-peer-review, pre-copyedit version of a paper published in Computers Helping People with Special Needs. ICCHP 2018. Lecture Notes in Computer Science, vol 10897. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-94274-2_75 and is published Open Access
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Depositing User: Nawaz Khan
Date Deposited: 14 May 2018 09:37
Last Modified: 29 Nov 2022 19:50
URI: https://eprints.mdx.ac.uk/id/eprint/24258

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