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Development and Validation of a Machine Learning-Based Decision Support Tool for Residency Applicant Screening and Review
58
Zitationen
8
Autoren
2021
Jahr
Abstract
The authors developed and validated an ML algorithm for predicting residency interview offers from numerous application elements with high performance-even when USMLE scores were removed. Model deployment in a DST highlighted its potential for screening candidates and helped quantify and mitigate biases existing in the selection process. Further work will incorporate unstructured textual data through natural language processing methods.
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