Name
Abstract | ||
|---|---|---|
One of major challenges in chronic disease self-management is the lack of medication adherence. Despite the proliferation of mobile technologies, the potential of using pervasive computing solutions for improved medication management has remained almost unexplored. In this paper, we present a smart-phone based system capable of delivering adaptive activity-aware medication reminders by learning the user's activity of daily living and detecting the most appropriate and effective timing for medication reminders centered around the initial user-specified schedule. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3055031.3055045 | IPSN |
Keywords | Field | DocType |
medication adherence, activity learning, prompting | Mobile technology,Data modeling,Activity recognition,Activities of daily living,Computer science,Simulation,Adaptive system,Computer network,Schedule,Ubiquitous computing,Multimedia,Mobile telephony | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ramin Fallahzadeh | 1 | 40 | 6.63 |
| Bryan Minor | 2 | 38 | 3.09 |
| Lorraine S. Evangelista | 3 | 38 | 3.95 |
| Diane J. Cook | 4 | 5052 | 596.13 |
| Hassan Ghasemzadeh | 5 | 656 | 61.36 |