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

• Main Authors: Leila Amirhajlou (Author), Zohre Sohrabi (Author), Mahmoud Reza Alebouyeh (Author), Nader Tavakoli (Author), Roghye Zare Haghighi (Author), Akram Hashemi (Author), Amir Asoodeh (Author)
• Format: Book
• Published: Wolters Kluwer Medknow Publications, 2019-01-01T00:00:00Z.
• Subjects: article
• Online Access: 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)...