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Construction of a Machine Learning-based Model for Predicting Professional Identity among Medical Students in the Context of the COVID-19 Pandemic: A Multicenter Study

2026-05-14

Abstract excerpt

<title>Abstract</title> <p> Background The ongoing spread of the COVID-19 pandemic has profoundly affected the professional identity of medical students. There is a need to develop accurate predictive tools to identify high-risk groups with a weak professional identity. This study aimed to construct and validate a machine learning model integrating multidimensional COVID-19 exposure factors to provide a basis f...

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Literature Corpus work
200ff662-002c-57e7-a149-819b2fc8cf38
DOI
10.21203/rs.3.rs-9324440/v1
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Construction of a Machine Learning-based Model for Predicting Professional Identity among Medical Students in the Context of the COVID-19 Pandemic: A Multicenter StudyDOI 10.21203/rs.3.rs-9324440/v1
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