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%.
Author: | Alina NechyporenkoORCiD, Marcus FrohmeORCiDGND, Vladyslav OmelchenkoORCiD, Victoriia AlekseevaORCiD, Andrii LupyrORCiD, Vitaliy GarginORCiD |
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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 |