A statistical reasoning system for medication prompting

Sengul Vurgun, Matthai Philipose, Misha Pavel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations


We describe our experience building and using a reasoning system for providing context-based prompts to elders to take their medication. We describe the process of specification, design, implementation and use of our system. We chose a simple Dynamic Bayesian Network as our representation. We analyze the design space for the model in some detail. A key challenge in using the model was the overhead of labeling the data. We analyze the impact of a variety of options to ease labeling, and highlight in particular the utility of simple clustering before labeling. A key choice in the design of such reasoning systems is that between statistical and deterministic rule-based approaches. We evaluate a simple rule-based system on our data and discuss some of its pros and cons when compared to the statistical (Bayesian) approach in a practical setting. We discuss challenges to reasoning arising from failures of data collection procedures and calibration drift. The system was deployed among 6 subjects over a period of 12 weeks, and resulted in adherence improving from 56% on average with no prompting to 63% with state of the art context-unaware prompts to 74% with our context-aware prompts.

Original languageEnglish (US)
Title of host publicationUbiComp 2007
Subtitle of host publicationUbiquitous Computing - 9th International Conference, UbiComp 2007, Proceedings
Number of pages18
ISBN (Print)3540748520, 9783540748526
StatePublished - 2007
Externally publishedYes
Event9th International Conference on Ubiquitous Computing, UbiComp 2007 - lnnsbruck, Austria
Duration: Sep 16 2007Sep 19 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4717 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other9th International Conference on Ubiquitous Computing, UbiComp 2007

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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