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Can I read IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art on EtoBox?
IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art by A.S. Albahri; Jwan K. Alwan; Zahraa K. Taha; Sura F. Ismail; Rula A. Hamid; A.A. Zaidan; O.S. Albahri; B.B. Zaidan; A.H. Alamoodi; M.A. Alsalem is a Computer Science article available to read on EtoBox.
What is IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art about?
Numerous studies have focused on making telemedicine smart through the Internet of Things (IoT) technology. These works span a wide range of research areas to enhance telemedicine architecture such as network communications, artificial intelligence methods and techniques, IoT wearable sensors and hardware devices, smartphones and cloud computing. Accordingly, several telemedicine applications covering various human diseases have presented their works from a specific perspective and resulted in confusion regarding the IoT characteristics. Although such applications are useful and necessary for improving telemedicine contexts related to monitoring, detection and diagnostics, deriving an overall picture of how IoT characteristics are currently integrated with the telemedicine architecture is difficult. Accordingly, this study complements the academic literature with a systematic review covering all main aspects of advances in IoT-based telemedicine architecture. This study also provides a state-of-the-art telemedicine classification taxonomy under IoT and reviews works in different fields in relation to that classification. To this end, this study checked the ScienceDirect, Institute
Who reads IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- A.S. Albahri; Jwan K. Alwan; Zahraa K. Taha; Sura F. Ismail; Rula A. Hamid; A.A. Zaidan; O.S. Albahri; B.B. Zaidan; A.H. Alamoodi; M.A. Alsalem
- Publisher
- Elsevier BV
- Published
- 2021
- Language
- EN
- Field
- Computer Science (Physical Sciences)