Cargando…
Investigating Students’ Pre-University Admission Requirements and Their Correlation with Academic Performance for Medical Students: An Educational Data Mining Approach
Medical education is one of the most sought-after disciplines for its prestigious and noble status. Institutions endeavor to identify admissions criteria to register bright students who can handle the complexity of medical training and become competent clinicians. This study aims to apply statistica...
Autores principales: | Qahmash, Ayman, Ahmad, Naim, Algarni, Abdulmohsen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046873/ https://www.ncbi.nlm.nih.gov/pubmed/36979266 http://dx.doi.org/10.3390/brainsci13030456 |
Ejemplares similares
-
Implementing Fuzzy AHP and FUCOM to evaluate critical success factors for sustained academic quality assurance and ABET accreditation
por: Ahmad, Naim, et al.
Publicado: (2020) -
A Hybrid Approach Toward COVID-19 Pandemic Modeling in Saudi Arabia Using the Modified Susceptible-Exposed-Infectious-Recovered Model and Open Data Sources
por: Ahmad, Naim, et al.
Publicado: (2021) -
Female students’ perspectives on cervical cancer screening inclusion in pre-admission university requirements in Ghana
por: Appiah, Evans Osei, et al.
Publicado: (2023) -
Text Mining Analysis of Korean University Students’ Academic Coaching Intake Session Reports
por: Lee, Ahram, et al.
Publicado: (2022) -
Early detection of student degree-level academic performance using educational data mining
por: Meghji, Areej Fatemah, et al.
Publicado: (2023)