Case-Based Reasoning for Context-Aware Solutions Supporting Personalised Asthma Management

Context-aware solutions have the potential to address the personalisation required for implementing asthma management plans. However, they have limitations to aid people with asthma when their triggers and symptoms are poorly known or changing. Case-Based Reasoning can address these limitations as i...

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Published inArtificial Intelligence and Soft Computing Vol. 11509; pp. 260 - 270
Main Authors Quinde, Mario, Khan, Nawaz, Augusto, Juan Carlos
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2019
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Online AccessGet full text
ISBN9783030209148
3030209148
ISSN0302-9743
1611-3349
DOI10.1007/978-3-030-20915-5_24

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Abstract Context-aware solutions have the potential to address the personalisation required for implementing asthma management plans. However, they have limitations to aid people with asthma when their triggers and symptoms are poorly known or changing. Case-Based Reasoning can address these limitations as it can effectively deal with personal constraints in problems that involve evolving context adaptation. This research work proposes to use Case-Based Reasoning together with Context-Aware Reasoning to aid the personalisation of asthma management plans at specific stages of the condition when the triggers and symptoms are not completely known or evolving. The proposal was implemented and evaluated using historical weather and air pollution data, and two control cases that were defined based on a set of interviews. Finally, the benefits and challenges of the proposal are presented and analysed based on the results of the evaluation.
AbstractList Context-aware solutions have the potential to address the personalisation required for implementing asthma management plans. However, they have limitations to aid people with asthma when their triggers and symptoms are poorly known or changing. Case-Based Reasoning can address these limitations as it can effectively deal with personal constraints in problems that involve evolving context adaptation. This research work proposes to use Case-Based Reasoning together with Context-Aware Reasoning to aid the personalisation of asthma management plans at specific stages of the condition when the triggers and symptoms are not completely known or evolving. The proposal was implemented and evaluated using historical weather and air pollution data, and two control cases that were defined based on a set of interviews. Finally, the benefits and challenges of the proposal are presented and analysed based on the results of the evaluation.
Author Khan, Nawaz
Augusto, Juan Carlos
Quinde, Mario
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Snippet Context-aware solutions have the potential to address the personalisation required for implementing asthma management plans. However, they have limitations to...
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SourceType Publisher
StartPage 260
SubjectTerms Asthma
Case-based reasoning
Context-awareness
Personalisation
Title Case-Based Reasoning for Context-Aware Solutions Supporting Personalised Asthma Management
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