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Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications pp 1–11Cite as

Social IoT Healthcare

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 846))

Abstract

Monitoring the vital signs of patients and thus predicting the health status of a patient in the Internet of Things (IoT) healthcare applications is the primary goal of healthcare systems. One common approach in these works is the detection of the activity of the patient (activity recognition) based on sensors in the environment. However, this method requires many sensors to record the patient’s condition, which can be costly and inconvenient. These methods cannot predict the health status of a patient, and can only detect current abnormal behavior. In this chapter we want to survey the works done in predicting the health status of patients in health care with the aids of social IoT.

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Author information

Authors and Affiliations

  1. Computer Engineering Faculty, University of Science and Culture, Tehran, Iran

    Azadeh Zamanifar

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  1. Azadeh Zamanifar
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Correspondence to Azadeh Zamanifar .

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Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Department of Computer Science and Engineering, Faculty of Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    Roheet Bhatnagar

  3. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Nour Eldeen M. Khalifa

  4. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Mohamed Hamed N. Taha

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Zamanifar, A. (2020). Social IoT Healthcare. In: Hassanien, A., Bhatnagar, R., Khalifa, N., Taha, M. (eds) Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications. Studies in Computational Intelligence, vol 846. Springer, Cham. https://doi.org/10.1007/978-3-030-24513-9_1

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