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Internet of Things for control and prevention of infectious diseases
IoT-Based Data Analytics for the Healthcare Industry: Techniques and Applications ; : 277-284, 2020.
Article in English | Scopus | ID: covidwho-2094911
ABSTRACT
The Internet of Things (IoT) consists of three major components perception or idea generation, secure transmission, and intelligent data analysis. These core components can be applied in different formats for the prevention and control of infectious diseases. The procedure relies on the combination of sensors, artificial intelligence (AI), information technology, and available dynamic networking devices. The IoT networks can establish long-distance communication among hospitals, patients, and medical equipment, which could ultimately improve current medical conditions. The IoT has found many applications in infectious disease management that include early prediction, accurate diagnosis, suggestions on therapeutic intervention, and sharing of research data and policy making. All the components of IoT network gets integrated into skeletal framework and can help in control and prevention of infectious diseases. © 2021 Elsevier Inc. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: IoT-Based Data Analytics for the Healthcare Industry: Techniques and Applications Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: IoT-Based Data Analytics for the Healthcare Industry: Techniques and Applications Year: 2020 Document Type: Article