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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...
Autores principales: | Hammoudi Halat, Dalal, Abdel-Salam, Abdel-Salam G., Bensaid, Ahmed, Soltani, Abderrezzaq, Alsarraj, Lama, Dalli, Roua, Malki, Ahmed |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
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 |
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