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...

Full description

Bibliographic Details

Main Authors:	Khan, Md. Nafiul Alam, Miah, M. Saef Ullah, Shahjalal, Md., Sarwar, Talha, Rokon, Md. Shahariar
Format:	Article
Language:	en
Published:	Hindawi Limited 2022
Subjects:	Q Science (General) QA76 Computer software T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/33586/1/Predicting%20young%20imposter%20syndrome%20using%20ensemble%20learning.pdf http://umpir.ump.edu.my/id/eprint/33586/ https://doi.org/10.1155/2022/8306473
Tags:	Add Tag No Tags, Be the first to tag this record!