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A total of 227 patient safety incident advisories related to medication were obtained from the Canadian Patient Safety Institute\u2019s Global Patient Safety Alerts system. Eight feature selection strategies based on frequent terms, frequent drug terms and constituent terms were performed. Statistical text classifiers based on logistic regression, support vector machines with linear, polynomial, radial-basis and sigmoid kernels and decision tree were trained and tested. The models developed achieved an average accuracy of above 0.8 across all the model settings. The receiver operating characteristic curves indicated the classifiers performed reasonably well. The results obtained in this study suggest that statistical text classification can be a feasible method for identifying medication incidents due to look-alike sound-alike mix-ups based on a database of advisories from Global Patient Safety Alerts. <\/jats:p>","DOI":"10.1177\/1460458214555040","type":"journal-article","created":{"date-parts":[[2014,11,13]],"date-time":"2014-11-13T01:46:07Z","timestamp":1415843167000},"page":"276-292","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Statistical classification of drug incidents due to look-alike sound-alike mix-ups"],"prefix":"10.1177","volume":"22","author":[{"given":"Zoie Shui Yee","family":"Wong","sequence":"first","affiliation":[{"name":"City University of Hong Kong, Hong Kong"}]}],"member":"179","published-online":{"date-parts":[[2014,11,11]]},"reference":[{"key":"bibr1-1460458214555040","doi-asserted-by":"publisher","DOI":"10.2146\/news080020"},{"key":"bibr2-1460458214555040","first-page":"234","volume-title":"The 32nd joint conference on medical informatics","author":"Wong ZSY","year":"2012"},{"key":"bibr3-1460458214555040","doi-asserted-by":"publisher","DOI":"10.1016\/S1553-7250(05)31007-5"},{"key":"bibr4-1460458214555040","first-page":"62","volume":"13","author":"Van den Bemt PMLA","year":"2007","journal-title":"Eur J Hosp Pharm Pract"},{"key":"bibr5-1460458214555040","doi-asserted-by":"publisher","DOI":"10.1007\/s11096-004-2270-8"},{"key":"bibr6-1460458214555040","doi-asserted-by":"publisher","DOI":"10.1136\/qshc.2006.022053"},{"key":"bibr7-1460458214555040","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2125.2009.03428.x"},{"key":"bibr8-1460458214555040","doi-asserted-by":"publisher","DOI":"10.1211\/ijpp.17.1.0004"},{"key":"bibr9-1460458214555040","unstructured":"Kim S. 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