Predicting young imposter syndrome using ensemble learning
Background. Imposter syndrome (IS), associated with self-doubt and fear despite clear accomplishments and competencies, is frequently detected in medical students and has a negative impact on their well-being. This study aimed to predict the students' IS using the machine learning ensemble appr...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33586/ http://umpir.ump.edu.my/id/eprint/33586/1/Predicting%20young%20imposter%20syndrome%20using%20ensemble%20learning.pdf |