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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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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