Name
Abstract | ||
|---|---|---|
The new and emerging infectious diseases are an incising threat to countries due to globalisation, movement of passengers and international trade. In order to discover articles of potential importance to infectious disease emergence it is important to mine the Web with an accurate vocabulary. In this paper, we present a new methodology that combines text-mining results and visualisation approach in order to discover associations between hosts and symptoms related to emerging infectious disease outbreaks. |
Year | Venue | Field |
|---|---|---|
2018 | NLDB | World Wide Web,Web mining,Computer science,Emerging infectious disease,Outbreak,Natural language processing,Artificial intelligence,Globalization,Vocabulary,Infectious disease (medical specialty) |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
5 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samiha Fadloun | 1 | 0 | 0.68 |
| Arnaud Sallaberry | 2 | 147 | 14.86 |
| Alizé Mercier | 3 | 0 | 0.34 |
| Elena Arsevska | 4 | 0 | 0.34 |
| Pascal Poncelet | 5 | 768 | 126.47 |
| Mathieu Roche | 6 | 222 | 39.78 |