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Advances in Artificial Intelligence: 26th Canadian - download pdf or read online

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 booklet constitutes the refereed complaints of the twenty fifth Canadian convention on synthetic Intelligence, Canadian AI 2012, held in Regina, SK, Canada, in might 2013. The 17 general papers and 15 brief papers awarded have been conscientiously reviewed and chosen from seventy three preliminary submissions and are observed via eight papers from the Graduate scholar Symposium that have been chosen from 14 submissions. The papers hide numerous subject matters inside AI, reminiscent of: details extraction, wisdom illustration, seek, textual content mining, social networks, temporal associations.

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Extra resources 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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In contrast, we hypothesize that branches can be pruned to reduce the PHI detection time and still achieve an acceptable result. We leave this as potential future work. 5 Risk Factor of Personal Information Due to the semantic ambiguity of the terms we had to manually examine the given context to see whether the terms were used for describing medical concepts or not. ” has no medical meaning. We aimed to find whether the terms were used for revealing PHI or HI. Although some terms like surgery and asthma have strictly (or with high certainty) medical meaning, some terms may convey different meanings depending on where or how they are used.

So in total we have selected 44,802 nodes out of 353,154. Fig. 1. A sample of the SNOMED hierarchy Table 2. MedDRA and SNOMED hierarchical structure Dictionary MedDRA SNOMED # total nodes 11,400 353,154 # unique sub-selected nodes 8,561 44,802 average depth level 3 6 Table 2 depicts a brief comparison between MedDRA and SNOMED hierarchical structure. It shows that SNOMED covers a larger set of terms and has deeper hierarchical levels compared to MedDRA. 3 K. Ghazinou, M. Sokolova, and S. Matwin Benefits of Using MedDRA and SNOMED We believe referring to MedDRA and SNOMED as well-funded, well-studied and reliable sources has two benefits: 1.

NHI: terms with non-medical meaning. ” which is a medical term but does not reveal any personal health information. I saw a guy chasing someone and screaming at the top of his lungs…” which carries no medical value. In this manner we have manually analyzed and performed manual labeling based on the annotator’s judgment whether the post reveals information about the person who wrote it, or discloses information about other individuals that make them identifiable. We acknowledge that there might be cases where the person might be identified with a high probability in posts that mention “…my aunt…, my roommate”.

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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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