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https://ruomoplus.lib.uom.gr/handle/8000/2236| Title: | Application of IoT in Virus Detection | Authors: | Stergiou, Christos Plageras, Andreas P. Memos, Vasileios Koidou, Maria P. Psannis, Konstantinos |
Author Department Affiliations: | Department of Applied Informatics Department of Applied Informatics Department of Applied Informatics Department of Applied Informatics Department of Applied Informatics |
Author School Affiliations: | School of Information Sciences School of Information Sciences School of Information Sciences School of Information Sciences School of Information Sciences |
Subjects: | FRASCATI__Natural sciences__Computer and information sciences | Keywords: | IoT helathcare systems virus |
Issue Date: | 11-Mar-2024 | Publisher: | E Scholarly Community Encyclopedia | Abstract: | Today, healthcare system models should have high accuracy and sensitivity so that patients do not have a misdiagnosis. For this reason, sufficient knowledge of the area is required, with the medical staff being able to validate the correctness of their decisions. Therefore, artificial intelligence (AI) in combination with other emerging technologies could provide many benefits in the medical sector. |
URI: | https://ruomoplus.lib.uom.gr/handle/8000/2236 | Rights: | Attribution-NoDerivatives 4.0 Διεθνές | Corresponding Item Departments: | Department of Applied Informatics Department of Applied Informatics Department of Applied Informatics Department of Applied Informatics Department of Applied Informatics |
| Appears in Collections: | Book chapters |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| BC.6.2024-Application of IoT in Virus Detection.pdf | paper | 103,73 kB | Adobe PDF | View/Open |
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