Use of machine learning to assess factors affecting progression, retention, and graduation in first-year health professions students in Qatar: a longitudinal study

BACKGROUND: Across higher education, student retention, progression, and graduation are considered essential elements of students’ academic success. However, there is scarce literature analyzing these attributes across health professions education. The current study aims to explore rates of student...

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Detalles Bibliográficos
Autores principales: Hammoudi Halat, Dalal, Abdel-Salam, Abdel-Salam G., Bensaid, Ahmed, Soltani, Abderrezzaq, Alsarraj, Lama, Dalli, Roua, Malki, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691082/
https://www.ncbi.nlm.nih.gov/pubmed/38036997
http://dx.doi.org/10.1186/s12909-023-04887-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691082/
https://www.ncbi.nlm.nih.gov/pubmed/38036997
http://dx.doi.org/10.1186/s12909-023-04887-w

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