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A machine learning-based approach for predicting surgeons' subjective experience and skill levels: neuroimaging study

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Date

2021

Author

Keleş, Hasan Onur
Cengiz, Canberk
Demiral, İrem
Özmen, Mehmet Mahir
Omurtag, Ahmet

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Citation

Keles, H. O., Cengiz, C., Demiral, I., Ozmen, M. M., & Omurtag, A. (2021). 155 A Machine Learning-Based Approach for Predicting Surgeons’ Subjective Experience and Skill Levels: Neuroimaging Study. British Journal of Surgery, 108(Supplement_6), znab259-595.

Abstract

Measuring cognitive load is important for surgical education and patient safety. Traditional approaches of measuring cognitive load of surgeons utilise behavioural metrics to measure performance and surveys and questionnaires to collect reports of subjective experience

Source

BRITISH JOURNAL OF SURGERY

Volume

108

Issue

Supplement 6

URI

https://doi.org/10.1093/bjs/znab259.595
https://hdl.handle.net/20.500.12713/2297

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  • WoS İndeksli Yayınlar Koleksiyonu [2023]



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