Name
Abstract | ||
|---|---|---|
The aging population and economic crisis specially in developed countries have as a consequence the reduction in funds dedicated to health care; it is then desirable to optimize the costs of public and private healthcare systems, reducing the affluence of chronic and dependent people to care centers; promoting healthy lifestyle and activities can allow people to avoid chronic diseases as for example hypertension. In this article, we describe a system for promoting an active and healthy lifestyle for people and to recommend with guidelines and valuable information about their habits. The proposed system is being developed around the Big Data paradigm using bio-signal sensors and machine-learning algorithms for recommendations. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1177/1460458216660754 | HEALTH INFORMATICS JOURNAL |
Keywords | Field | DocType |
Big Data,cloud computing,elderly,Internet of things,sensors | Health care,Nursing,Private healthcare,Internet of Things,Developed country,Population ageing,Big data,Medicine,Cloud computing | Journal |
Volume | Issue | ISSN |
24.0 | 2.0 | 1460-4582 |
Citations | PageRank | References |
1 | 0.43 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diego Gachet Páez | 1 | 22 | 5.47 |
| Manuel De Buenaga Rodríguez | 2 | 67 | 16.59 |
| Enrique Puertas Sanz | 3 | 175 | 16.60 |
| María Teresa Villalba | 4 | 4 | 1.24 |
| Rafael Muñoz Gil | 5 | 5 | 1.96 |