Predicting Dental Student Success: Using Machine Learning to Evaluate Admission Criteria and Academic Outcomes.

Scates JM, Srivastava N, Helfer J, Duarte S

DOI: 10.1002/jdd.70388
Published: 2026 Sep 23
Container: Journal of dental education
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/jdd.70388,
  title = {Predicting Dental Student Success: Using Machine Learning to Evaluate Admission Criteria and Academic Outcomes.},
  author = {Scates JM and Srivastava N and Helfer J and Duarte S},
  year = {2026},
  journal = {Journal of dental education},
  doi = {10.1002/jdd.70388},
  url = {https://doi.org/10.1002/jdd.70388}
}

RIS

TY  - JOUR
TI  - Predicting Dental Student Success: Using Machine Learning to Evaluate Admission Criteria and Academic Outcomes.
AU  - Scates JM
AU  - Srivastava N
AU  - Helfer J
AU  - Duarte S
PY  - 2026
JO  - Journal of dental education
DO  - 10.1002/jdd.70388
UR  - https://doi.org/10.1002/jdd.70388
ER  -

APA

JM, S., N, S., J, H., & S, D. (2026). Predicting Dental Student Success: Using Machine Learning to Evaluate Admission Criteria and Academic Outcomes.. Journal of dental education. https://doi.org/10.1002/jdd.70388

Source records

pubmed · retrieved 2026-09-24T23:24:37.482Z