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AI empowered context-aware smart system for medication adherence


Authors: Q. Wu, Z. Zeng, J. Lin, and Y. Chen
Title: AI empowered context-aware smart system for medication adherence
Abstract: Purpose Poor medication adherence leads to high hospital admission rate and heavy amount of health-care cost. To cope with this problem, various electronic pillboxes have been proposed to improve the medication adherence rate. However, most of the existing electronic pillboxes use time-based reminders which may often lead to ineffective reminding if the reminders are triggered at inopportune moments, e.g. user is sleeping or eating. Design/methodology/approach In this paper, the authors propose an AI-empowered context-aware smart pillbox system. The pillbox system collects real-time sensor data from a smart home environment and analyzes the user’s contextual information through a computational abstract argumentation-based activity classifier. Findings Based on user’s different contextual states, the smart pillbox will generate reminders at appropriate time and on appropriate devices. Originality/value This paper presents a novel context-aware smart pillbox system that uses argumentation-based activity recognition and reminder generation.
Keywords: Context awareness; Argumentation and explainable AI; Smart pillbox
Journal Name: International Journal of Crowd Science, vol. 1, no. 2
Publisher: Emerald Publishing
Year: 2017
Accepted PDF File: AI_empowered_context-aware_smart_system_for_medication_adherence_accepted.pdf
Permanent Link: https://doi.org/10.1108/IJCS-07-2017-0006
Reference: Q. Wu, Z. Zeng, J. Lin, and Y. Chen, “AI empowered context-aware smart system for medication adherence,” International Journal of Crowd Science, vol. 1, no. 2, pp. 102–109, 2017.
bibtex: 
@article {LILY-j34,
   author 	= {Wu, Qiong and Zeng, Zhiwei and Lin, Jun and Chen, Yiqiang},
   title 	= {{AI} empowered context-aware smart system for medication adherence},
   journal 	= {International Journal of Crowd Science},
   year 	= {2017},
   month 	= {},
   volume 	= {1},
   number 	= {2},
   pages 	= {102-109},
   publisher 	= {Emerald Publishing},
}