A Generalizable Approach to Predicting Performance on USMLE Step 2 CK.

Jeffrey B Bird Doreen M Olvet Joanne M Willey Judith M Brenner

Published in: Advances in medical education and practice (2022)

This model is highly generalizable and enables medical educators to predict student performance on Step 2 CK in the absence of Step 1 quantitative data as early as the end of the first year of medical education with increasingly stronger predictions as students progressed through the clerkship year.

Keyphrases

medical education
protein kinase
healthcare
electronic health record
high resolution
high school
big data
machine learning
deep learning