Twelve tips for using educational data mining and machine learning to predict performance in high-stakes health professions education exams.
- DOI
- 10.4103/jehp.jehp_258_25
- Published
- 2026
- Container
- Journal of education and health promotion
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.4103/jehp.jehp_258_25,
title = {Twelve tips for using educational data mining and machine learning to predict performance in high-stakes health professions education exams.},
author = {Mastour H and Ghouchan Nezhad Noor Nia R and Eslami S},
year = {2026},
journal = {Journal of education and health promotion},
doi = {10.4103/jehp.jehp_258_25},
url = {https://doi.org/10.4103/jehp.jehp_258_25}
}RIS
TY - JOUR TI - Twelve tips for using educational data mining and machine learning to predict performance in high-stakes health professions education exams. AU - Mastour H AU - Ghouchan Nezhad Noor Nia R AU - Eslami S PY - 2026 JO - Journal of education and health promotion DO - 10.4103/jehp.jehp_258_25 UR - https://doi.org/10.4103/jehp.jehp_258_25 ER -
APA
H, M., R, G. N. N. N., & S, E. (2026). Twelve tips for using educational data mining and machine learning to predict performance in high-stakes health professions education exams.. Journal of education and health promotion. https://doi.org/10.4103/jehp.jehp_258_25
Source records
- pubmed · retrieved 2026-09-26T02:41:45.987Z