This article is a review of literature for skills comprised within the Accreditation Board of Engineering and Technology (ABET) criteria determined 26 topics necessary for the entry-level and continued success of engineers. The findings suggest that although entry-level engineers have proficiency in all of these ABET required skills, the entry-level engineers were not meeting the level of importance expressed by the organization for 24 of these 26 skills.

This article investigates the use of synthetic data for the annotation and automated extraction of family history information relating to cases of cardiac disease from Norwegian clinical text. This work assesses the validity and applicability of the annotated synthetic corpus using machine learning techniques. The methodology outlined in this article may be useful in other situations where limited availability of clinical text hinders NLP tasks.