Application of data mining techniques for predicting residents' performance on pre-board examinations: A case study

• Główni autorzy: Leila Amirhajlou (Autor), Zohre Sohrabi (Autor), Mahmoud Reza Alebouyeh (Autor), Nader Tavakoli (Autor), Roghye Zare Haghighi (Autor), Akram Hashemi (Autor), Amir Asoodeh (Autor)
• Format: Książka
• Wydane: Wolters Kluwer Medknow Publications, 2019-01-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

CONTEXT: Predicting residents' academic performance is critical for medical educational institutions to plan strategies for improving their achievement. AIMS: This study aimed to predict the performance of residents on preboard examinations based on the results of in-training examinations (ITE)...