Research output per year
Research output per year
Project Details
Description
The health of a society’s individuals is not isolated from the natural environment. Symbiotically we influence and are influenced by the ecosystem.
Public health officials are faced with new challenges for outbreak alert and response due to the continuous emergence of infectious diseases and their contributing factors such as demographic change, or globalization. Early reaction is necessary, but often communication and information flow through traditional channels is slow. The M-Eco – Medical Ecosystem: Personalized Event-based surveillance – project proposes a complementing way to early detection of public health threats by using additional sources of information. These days, online media, weblogs, scientific and non-scientific discussion forums and direct electronic communication provide complements to the traditional report-ing mechanisms.
The research leading to these results has received funding from the European Community‘s Seventh Framework Programme (FP7/2007-2013) under grant agreement No.247829
AAU main task inthe project is to develop personalized recommendation methods and user modeling approaches for recommending detected medical events.
Public health officials are faced with new challenges for outbreak alert and response due to the continuous emergence of infectious diseases and their contributing factors such as demographic change, or globalization. Early reaction is necessary, but often communication and information flow through traditional channels is slow. The M-Eco – Medical Ecosystem: Personalized Event-based surveillance – project proposes a complementing way to early detection of public health threats by using additional sources of information. These days, online media, weblogs, scientific and non-scientific discussion forums and direct electronic communication provide complements to the traditional report-ing mechanisms.
The research leading to these results has received funding from the European Community‘s Seventh Framework Programme (FP7/2007-2013) under grant agreement No.247829
AAU main task inthe project is to develop personalized recommendation methods and user modeling approaches for recommending detected medical events.
| Acronym | MEco |
|---|---|
| Status | Finished |
| Effective start/end date | 01/01/2010 → 30/06/2012 |
Funding
- FP7 IST: DKK1,999,000.00
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Research output
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Expanding user's query with tag-neighbors for effective medical information retrieval
Durao, F., Bayyapu, K., Xu, G., Dolog, P. & Lage, R. G., Jul 2014, In: Multimedia Tools and Applications. 71, 2, p. 905-929 25 p.Research output: Contribution to journal › Journal article › Research › peer-review
8 Citations (Scopus) -
An Integrated Pruning Criterion for Ensemble Learning Based on Classification Accuracy and Diversity
Fu, B., Wang, Z., Pan, R., Xu, G. & Dolog, P., 2013, 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing. Springer Publishing Company, Vol. 172. p. 47-58 12 p. (Advances in Intelligent Systems and Computing, Vol. 172).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
9 Citations (Scopus) -
Choosing which message to publish on social networks: A Contextual bandit approach
Lage, R., Denoyer, L., Gallinari, P. & Dolog, P., 1 Aug 2013, Proceedings of ASONAM 2013: International Conference on Advances in Social Networks Analysis and Mining. Rokne, J. G. & Faloutsos, C. (eds.). New York: Association for Computing Machinery, p. 620-627 8 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
9 Citations (Scopus)