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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/51873
Title: Structure and components of internet of things network for it patient diagnostics
Authors: Vishnyakou, U. A.
Tao, H.
Yian, Z.
Keywords: материалы конференций;it development;IoTD network concept;medicine
Issue Date: 2023
Publisher: БГУИР
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.
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.
URI: https://libeldoc.bsuir.by/handle/123456789/51873
Appears in Collections:Технологии передачи и обработки информации : материалы Международного научно-технического семинара (2023)

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