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

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

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)...

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Bibliographic Details
Main Authors: Leila Amirhajlou, Zohre Sohrabi, Mahmoud Reza Alebouyeh, Nader Tavakoli, Roghye Zare Haghighi, Akram Hashemi, Amir Asoodeh
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2019-01-01
Series:Journal of Education and Health Promotion
Subjects:
board certification examination
data mining
in-training examination
performance
preboard
prediction
resident
Online Access:http://www.jehp.net/article.asp?issn=2277-9531;year=2019;volume=8;issue=1;spage=108;epage=108;aulast=Amirhajlou

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http://www.jehp.net/article.asp?issn=2277-9531;year=2019;volume=8;issue=1;spage=108;epage=108;aulast=Amirhajlou

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