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Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study

Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study

Sharif et al [28] proposed a sentiment classification framework to detect adverse drug reactions in medical blogs and forums.

Majid Rastegar-Mojarad, Hongfang Liu, Priya Nambisan

JMIR Res Protoc 2016;5(2):e121

Evaluating the Accuracy of Google Translate for Diabetes Education Material

Evaluating the Accuracy of Google Translate for Diabetes Education Material

Similarly, Sharif and Tse [18] reported an overall 50% error rate for medicine labels translated from English to Spanish by computer programs.

Xuewei Chen, Sandra Acosta, Adam Etheridge Barry

JMIR Diabetes 2016;1(1):e3

Machine or Human? Evaluating the Quality of a Language Translation Mobile App for Diabetes Education Material

Machine or Human? Evaluating the Quality of a Language Translation Mobile App for Diabetes Education Material

For instance, Sharif and Tse [28] identified half of the medicine labels translated by computer programs from English to Spanish as being incorrect.

Xuewei Chen, Sandra Acosta, Adam E Barry

JMIR Diabetes 2017;2(1):e13