Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education.

Yusuf Yilmaz Alma Jurado Nunez Ali Ariaeinejad Mark Lee Jonathan Sherbino Teresa Man-Yee Chan

Published in: JMIR medical education (2022)

The ML models can accurately identify underperforming residents via narrative comments provided for WBAs. The words generated in WBAs can be a worthy data set to augment human decisions for educators tasked with processing large volumes of narrative assessments.

Keyphrases

medical education
machine learning
big data
endothelial cells
artificial intelligence
autism spectrum disorder
electronic health record
deep learning
data analysis
health promotion