Cancer Digital Twins in Metaverse

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43966896" target="_blank" >RIV/49777513:23220/22:43966896 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9983328" target="_blank" >https://ieeexplore.ieee.org/document/9983328</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ME54704.2022.9983328" target="_blank" >10.1109/ME54704.2022.9983328</a>

Result language
angličtina
Original language name
Cancer Digital Twins in Metaverse
Original language description
The Metaverse is an emerging technology to make virtual environments for users to benefit from a huge number of virtual services, while users experience immersive interactions with the real world. Digital twins, which are representatives of assets in this virtual world, play an important role to connect this environment to the actual world. Therefore, translating problematic assets, objects, and disease like cancers to this cyber world provide patients with this opportunity to benefit from its advantages. This study aims to conceptualize an approach to how machine learning (ML) can realize real-time and robust digital twins of cancers to be used in the Metaverse for diagnosis and treatment. While there are a large number of ML methods, which have advantages based on the various types of healthcare data, four classic ML techniques, including ML linear regression (ML LR), decision tree regression (DTR), Random Forest Regression (RFR), and Gradient Boosting Algorithm (GBA), have been employed to implement the main part of this approach in this research. Moreover, a comprehensive conceptual framework of the ML digital twinning method has been presented to illustrate the process of digital twining cancers with different medical data.
Czech name
—
Czech description
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Project
<a href="/en/project/EF18_053%2F0016927" target="_blank" >EF18_053/0016927: Mobility of West Bohemian University in Pilsen</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika, ME 2022
ISBN
978-1-66541-040-3
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
404-409
Publisher name
IEEE
Place of publication
Piscataway
Event location
Pilsen, Czech Republic
Event date
Dec 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000947331700058

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