Early detection of at-risk health sciences students: a machine learning-based predictive study using midterm grades

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Publication Details

Journal
BMC Medical Education
Published
2025-11-26
DOI
https://doi.org/10.1186/s12909-025-08192-6
Primary Topic
Medical Education and Admissions
Type
article
Field-Weighted Citation Impact
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article

Early detection of at-risk health sciences students: a machine learning-based predictive study using midterm grades

İlhan Öztürk, Hussein M. Elmehdi, Reem A. M. Al Hashmi
BMC Medical Education
Medical Education and Admissions
article

Early detection of at-risk health sciences students: a machine learning-based predictive study using midterm grades

İlhan Öztürk, Hussein M. Elmehdi, Reem A. M. Al Hashmi
article en

Abstract

No abstract available for this paper.
BMC Medical EducationVol. 25(1)
Warsaw University of Technology (PL), China Medical University (TW), İstanbul Nişantaşı Üniversitesi (TR), University of Sharjah (AE), China Medical University Hospital (TW)
Openalex Percentile: Top 53%
Medical Education and Admissions
DOIOpen Access PDFOpenAlex
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