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Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning

  • The aim of our study is to develop a new, simple, and effective method for identification of personality based on the characteristics of the sphenoid sinus structure, using machine learning for subsequent implementation into routine medical practice in Ukraine. The study involved 200 multislice computed tomography (MSCT) scans of individuals of various genders and ages. During the study, we obtained results with an accuracy exceeding 70%.

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Metadaten
Author:Alina NechyporenkoORCiD, Marcus FrohmeORCiDGND, Vladyslav OmelchenkoORCiD, Victoriia AlekseevaORCiD, Andrii LupyrORCiD, Vitaliy GarginORCiD
URN:urn:nbn:de:0074-3609-1
URL:https://ceur-ws.org/Vol-3609/short2.pdf
Parent Title (English):Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023
Publisher:CEUR-WS.org
Editor:Natalia Shakhovska, Michal Kovác, Ivan Izonin, Stéphane Chrétien
Document Type:Conference Proceeding
Language:English
Year of Publication:2023
Publishing Institution:Technische Hochschule Wildau
Release Date:2024/02/20
Tag:Identification of personality; deep learning; multislice computed tomography
Volume:3609
First Page:167
Last Page:173
Source:Nechyporenko, A., Frohme, M., Omelchenko, V., Alekseeva, V., Lupyr, A., & Gargin, V. (2023). Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning. (N. Shakhovska, M. Kovác, I. Izonin, & S. Chrétien), Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023. CEUR-WS.org. Retrieved from https://ceur-ws.org/Vol-3609/short2.pdf
Faculties an central facilities:Fachbereich Ingenieur- und Naturwissenschaften
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 616 Krankheiten
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
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