Name
Abstract | ||
|---|---|---|
Epidemiological monitoring systems are used to control the evolution of disease spreading and to suggest action plans to prevent identified risks. In this domain, risk prediction is based on quantitative approaches that are hardly usable when data collection is not possible. In this paper, a qualitative approach based on an epidemiological monitoring ontology is proposed. We describe the design of this ontology and show how it fits into classical monitoring systems and helps overcoming limits related to quantitative approaches. |
Year | Venue | Field |
|---|---|---|
2012 | ISCRAM | USable,Data science,Ontology,Data collection,Epidemiological Monitoring,Monitoring system,Engineering |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gaoussou Camara | 1 | 2 | 5.20 |
| Rim Djedidi | 2 | 19 | 5.62 |
| Sylvie Desprès | 3 | 0 | 5.41 |
| Moussa Lo | 4 | 29 | 19.79 |