Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study

• Main Authors: Lestari, Widya, Abdullah, Adilah Syahirah, Ahmad Amin, Afifah Munirah, faridah, Nur, Sukotjo, Cortino, Ismail, Azlini, mohamad ibrahim, mohamad shafiq, Insani, Nashuha, Utomo, Chandra Prasetyo
• Format: Article
• Language: English; English; English
• Published: American Dental Education Association 2024
• Subjects: RK Dentistry
• Online Access: http://irep.iium.edu.my/113806/7/113806_Artificial%20intelligence%20to%20predict%20pre-clinical%20dental%20student%20academic%20performance.pdf; http://irep.iium.edu.my/113806/8/113806_Artificial%20intelligence%20to%20predict%20pre-clinical%20dental%20student%20academic%20performance_Scopus.pdf; http://irep.iium.edu.my/113806/9/113806_Artificial%20intelligence%20to%20predict%20pre-clinical%20dental%20student%20academic%20performance_WoS.pdf; http://irep.iium.edu.my/113806/; https://onlinelibrary.wiley.com/doi/10.1002/jdd.13673; https://onlinelibrary.wiley.com/doi/10.1002/jdd.13673

Purpose/Objectives: Admission into dental school involves selecting applicants for successful completion of the course. This study aimed to predict the academic performance of Kulliyyah of Dentistry, International Islamic University Malaysia pre-clinical dental students based on admission results us...