Analyzing Patterns in Anesthesiology Residents' Exam Performance Using Data Mining Techniques

Analyzing residents' exam performance using frequent pattern recognition can help identify their strengths and weaknesses. Faculty members can utilize these insights to better plan curricula and enhance the quality of education.

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Publication Details

Journal
Anesthesiology and Pain Medicine
Published
2024-12-07
DOI
https://doi.org/10.5812/aapm-151686
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Analyzing Patterns in Anesthesiology Residents' Exam Performance Using Data Mining Techniques

Morteza Karimian, Zahra Kohzadi, Ali Dabbagh, Zeinab Kohzadi et al.
Anesthesiology and Pain Medicine
AI and HR Technologies
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Analyzing Patterns in Anesthesiology Residents' Exam Performance Using Data Mining Techniques

Morteza Karimian, Zahra Kohzadi, Ali Dabbagh, Zeinab Kohzadi, Firoozeh Madadi, Shahabedin Rahmatizadeh, DACCPM
article en

Abstract

Analyzing residents' exam performance using frequent pattern recognition can help identify their strengths and weaknesses. Faculty members can utilize these insights to better plan curricula and enhance the quality of education.

Anesthesiology and Pain MedicineVol. 14(6)
Shahid Beheshti University of Medical Sciences (IR)
No poverty
Openalex Percentile: Top 69%
AI and HR Technologies
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