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).
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11582 LNCS, pp. 125–140). Springer Verlag. https://doi.org/10.1007/978-3-030-22219-2_10
Mendeley helps you to discover research relevant for your work.