Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education
JMIR Medical Education2022Vol. 8(2), pp. e30537–e30537
Citations Over TimeTop 10% of 2022 papers
Abstract
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.
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