| DC Field | Value | Language |
|---|
| dc.contributor.author | Vishnyakou, U. A. | - |
| dc.contributor.author | Tao, H. | - |
| dc.contributor.author | Yian, Z. | - |
| dc.coverage.spatial | Минск | ru_RU |
| dc.date.accessioned | 2023-06-08T10:56:57Z | - |
| dc.date.available | 2023-06-08T10:56:57Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Vishnyakou, U. A. Structure and components of internet of things network for it patient diagnostics / U. A. Vishnyakou, H. Tao, Z. Yian, W. Haoran // Технологии передачи и обработки информации : материалы Международного научно-технического семинара, Минск, март-апрель 2023 г. / Белорусский государственный университет информатики и радиоэлектроники; редкол.: В. Ю. Цветков [и др.]. – Минск, 2023. – С. 61–64. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/51873 | - |
| dc.description.abstract | Internet of Medical Things (IoMT) technologies increase the operational productivity and efficiency of healthcare organizations by optimizing clinical, information and operational processes. An overview of the use of IT development directions in remote diagnostics is given. For the development of IoT diagnostics (IoTD), an analysis was carried out in three directions: the iris, changes in voice characteristics, indicators of smart gadgets. The use of artificial intelligence technology and machine learning for IT diagnostics is considered. The structure of the IoTD patient diagnostic network is discussed. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | it development | ru_RU |
| dc.subject | IoTD network concept | ru_RU |
| dc.subject | medicine | ru_RU |
| dc.title | Structure and components of internet of things network for it patient diagnostics | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | Технологии передачи и обработки информации : материалы Международного научно-технического семинара (2023)
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