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

Keleş, Hasan OnurCengiz, CanberkDemiral, İremÖzmen, Mehmet MahirOmurtag, Ahmet2021-12-032021-12-032021Keles, 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), znab259-595.0007-13231365-2168https://doi.org/10.1093/bjs/znab259.595https://hdl.handle.net/20.500.12713/2297Measuring 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 experienceeninfo:eu-repo/semantics/closedAccessA machine learning-based approach for predicting surgeons' subjective experience and skill levels: neuroimaging studyArticle108Supplement 6WOS:000711212701036Q1