Showing 1 - 2 of 2 Research Library Publications
Posted: | John Norcini, Irina Grabovsky, Michael A. Barone, M. Brownell Anderson, Ravi S. Pandian, Alex J. Mechaber

Academic Medicine: Volume 99 - Issue 3 - p 325-330

 

This retrospective cohort study investigates the association between United States Medical Licensing Examination (USMLE) scores and outcomes in 196,881 hospitalizations in Pennsylvania over 3 years.

Posted: | Ian Micir, Kimberly Swygert, Jean D'Angelo

Journal of Applied Technology: Volume 23 - Special Issue 1 - Pages 30-40

 

The interpretations of test scores in secure, high-stakes environments are dependent on several assumptions, one of which is that examinee responses to items are independent and no enemy items are included on the same forms. This paper documents the development and implementation of a C#-based application that uses Natural Language Processing (NLP) and Machine Learning (ML) techniques to produce prioritized predictions of item enemy statuses within a large item bank.