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

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dc.authoridCanberk Cengiz / 0000-0001-7444-7874en_US
dc.authoridMehmet Mahir Özmen / 0000-0003-0649-0111en_US
dc.authorscopusidCanberk Cengiz / 57699611000
dc.authorscopusidMehmet Mahir Özmen / 57211511111
dc.authorwosidCanberk Cengiz / AAO-5573-2020
dc.authorwosidMehmet Mahir Özmen / AAO-2321-2020
dc.contributor.authorKeleş, Hasan Onur
dc.contributor.authorCengiz, Canberk
dc.contributor.authorDemiral, İrem
dc.contributor.authorÖzmen, Mehmet Mahir
dc.contributor.authorOmurtag, Ahmet
dc.date.accessioned2021-12-03T07:14:32Z
dc.date.available2021-12-03T07:14:32Z
dc.date.issued2021en_US
dc.departmentİstinye Üniversitesi, Sağlık Hizmetleri Meslek Yüksekokulu, Elektronörofizyoloji Bölümüen_US
dc.description.abstractMeasuring 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 experienceen_US
dc.identifier.citationKeles, 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.en_US
dc.identifier.issn0007-1323en_US
dc.identifier.issn1365-2168en_US
dc.identifier.issueSupplement 6en_US
dc.identifier.urihttps://doi.org/10.1093/bjs/znab259.595
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2297
dc.identifier.volume108en_US
dc.identifier.wosWOS:000711212701036en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorCengiz, Canberk
dc.institutionauthorÖzmen, Mehmet Mahir
dc.language.isoenen_US
dc.publisherOXFORD UNIV PRESSen_US
dc.relation.ispartofBRITISH JOURNAL OF SURGERYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleA machine learning-based approach for predicting surgeons' subjective experience and skill levels: neuroimaging studyen_US
dc.typeArticleen_US

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