Name
Abstract | ||
|---|---|---|
Thus far, lifestyle advisory system has become increasingly popular in both developing and developed countries. Among other essential features, personalisation is considered a defining factor that differentiates a system from apparently similar ones. Aiming to assist human health advisors and encourage individual's self-management, HOMEVMI supports personalisation through dynamic and context-aware decision making, deep analysis of user profile, and real-time interaction with the end users. While the initial market evaluation is promising, further improvement of the HOMEVMI prototypical system is forthcoming, based on feedback from market beneficiaries. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/HealthCom.2012.6379380 | Healthcom |
Keywords | Field | DocType |
homevmi,health care,expert systems,personalised lifestyle advisory system,patient self management,human health advisors,ubiquitous computing,end user real time interaction,dynamic decision making,medical computing,context aware decision making,ontologies,real time systems,sensors,engines | Ontology (information science),Health care,Data mining,User profile,End user,Computer science,Expert system,Knowledge management,Beneficiary,Ubiquitous computing,Personalization | Conference |
ISBN | Citations | PageRank |
978-1-4577-2038-3 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Hu | 1 | 161 | 27.21 |
| Aisha Naseer | 2 | 158 | 12.74 |
| Kenichi Fukuda | 3 | 0 | 0.68 |