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Pervasive healthcare services with smart decision making capability and ubiquitous communication technologies can forge future smart communities. Real-time health surveillance for early detection of life-threatening diseases through advanced sensing and communication technology can provide better treatment, reduce medical expenses and save lives of community residents (i.e., patients). However, the assurance of data privacy is the prime concern for such smart health technologies. This research aims to describe a privacy-preserving cloud-based system for real-time health surveillance through change detection of multiple vital health signs of smart community members. Vital signs data generated from IoT-enabled wearable devices are processed in real-time in a cloud environment. This article focuses on the development of a predictive model for the smart community considering the sensitivity of data …