Advances in Artificial Intelligence: 26th Canadian by Mohammad Ali Bagheri, Qigang Gao, Sergio Escalera (auth.),

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

This e-book constitutes the refereed court cases of the twenty fifth Canadian convention on synthetic Intelligence, Canadian AI 2012, held in Regina, SK, Canada, in could 2013. The 17 average papers and 15 brief papers awarded have been rigorously reviewed and chosen from seventy three preliminary submissions and are followed by means of eight papers from the Graduate pupil Symposium that have been chosen from 14 submissions. The papers disguise various subject matters inside AI, equivalent 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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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. For instance, the word heart has two different meanings in “…heart attack…” and “…follow your own heart…”. 34 K. Ghazinou, M. Sokolova, and S. Matwin We also measured the ratio of the number of times that the term was used in MySpace and the number of times that revealed PHI. We called the ratio the Risk Factor of Personal Information (RFPI).

In each fold, our collected data set were randomly partitioned into two equal-sized sets in which one was the training set which was tested on the other set. Then we calculated the average and variance of those five iterations for the privacy class. Table 9 shows the results of this 5X2-fold cross validation. 2 Part II, Special Treatment for Medical Terms We took the vectors resulting from Part I and focused on the terms belong to the following three groups by weighting them stronger in the bag of words than the remaining words.

Each ‘>’ symbol can be interpreted as ‘is a…’: Hermaphroditism > Disorder of endocrine gonad > Disorder of reproductive system > Disorder of the genitourinary system > Disorder of pelvic region > Finding of pelvic structure > Finding of trunk structure > Finding of body region > Finding by site > Clinical finding > SNOMED Concept It is cumbersome to understand how many of the 44,802 nodes that we have subselected from SNOMED are leaves and how many are intermediate nodes; however, 66 nodes out of 44,802 appeared in MySpace, of which 9 were leaves (see Table 5).

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