By Mohammad Ali Bagheri, Qigang Gao, Sergio Escalera (auth.), Osmar R. Zaïane, Sandra Zilles (eds.)

ISBN-10: 3642384560

ISBN-13: 9783642384561

ISBN-10: 3642384579

ISBN-13: 9783642384578

This e-book constitutes the refereed court cases of the twenty fifth Canadian convention on man made Intelligence, Canadian AI 2012, held in Regina, SK, Canada, in could 2013. The 17 typical papers and 15 brief papers provided have been conscientiously reviewed and chosen from seventy three preliminary submissions and are followed by way of eight papers from the Graduate pupil Symposium that have been chosen from 14 submissions. The papers hide a number of themes inside AI, comparable to: info extraction, wisdom illustration, seek, textual content mining, social networks, temporal associations.

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Extra info for Advances in Artificial Intelligence: 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, SK, Canada, May 28-31, 2013. Proceedings

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Belief Networks Revisited. Artif. Intell. 59, 49–56 (1993) 15. : Probabilistic Expert Systems. SIAM, Philadelphia (1996) 16. : On the Implication Problem for Probabilistic Conditional Independency. IEEE Trans. Syst. Man Cybern. A 30(6), 785–805 (2000) 17. : A Simple Approach to Bayesian Network Computations. In: 7th Canadian Conference on Artificial Intelligence, pp. 171–178. ca 2 Faculty of Medicine, University of Ottawa 3 Electronic Health Information Lab, CHEO Research Institute 4 Faculty of Computer Science, Dalhousie University Abstract.

G. Low salt diet education) and other procedures. Among 353,154 instances of all 19 main branches we decided to only sub-select procedures and clinical findings (that encompasses diseases and disorders). These branches have more medical meanings than for instance the Environment or geographical location node which covers name of the cities, provinces/states, etc. The clinical findings node has 29,724 sub-nodes (19,349 diseases and disorders, 10,375 findings) and the node procedure has 15,078 sub-nodes.

In fact, 19%-28% of all Internet users participate in medical online forums, health-focused groups and communities and visit healthdedicated web sites [1,14]. A recent study [9] had demonstrated a real-world example of cross-site information aggregation that resulted in disclosing PHI. A target patient has profiles on two online medical social networking sites. By comparing the attributes from both profiles, the adversary can link the two with high confidence. Furthermore, the attacker can use the attribute values to get more profiles of the target through searching the Web and other online public data sets.

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Advances in Artificial Intelligence: 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, SK, Canada, May 28-31, 2013. Proceedings by Mohammad Ali Bagheri, Qigang Gao, Sergio Escalera (auth.), Osmar R. Zaïane, Sandra Zilles (eds.)


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