Name
Abstract | ||
|---|---|---|
The rapid growth of data collected for training models to detect activities and changes in behavior and the adoption of wearables and smart devices are making the development of novel pervasive healthcare solutions possible. Training and validating these models so that they are able to interpret data and recognize one's health status for a pervasive healthcare system require properly annotated tra... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MPRV.2019.2912261 | IEEE Pervasive Computing |
Keywords | Field | DocType |
Medical services,Training data,Pervasive computing,Data models,Semantics | Health care,Training set,Data modeling,Computer science,Wearable computer,Human–computer interaction,Ground truth,Ubiquitous computing,Healthcare system,Semantics | Journal |
Volume | Issue | ISSN |
18 | 2 | 1536-1268 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kristina Yordanova | 1 | 70 | 15.22 |
| Jesús Favela | 2 | 2 | 2.75 |
| Gabriela Marcu | 3 | 286 | 26.89 |