I. Introduction
In the era of social media, the behaviors of 21st century humans are tremendously affected by Internet trends. As indicated by recent studies [1],[2], one (and most likely) of these trends is to seek health-related information online. Currently, the following scenario exploiting social humans to-humans interaction is very familiar and commonplace for human beings as the main players of the Internet: “Waking up a beautiful day, Jane Doe looked at herself in the mirror, which is the first action of her morning routine, and recognized strange red spots on her skin. For prognosis, she made a little search on the Internet for similar cases, shared the photo of the problem with her Whatsapp groups, posted some questions to medical blogs, and, moreover, sent her symptoms and the measurements from her smart wearables/medical-appliances to her family doctor.” In the evolution of Internet from Internet of-Humans towards Internet-of-Things (IoT), there is a question hanging in the balance for such a scenario: “Someday, can a group of commercial home appliances and their manufacturers as experts perform a prognosis through things -to-thing s interaction in the same manner? In other words, can an IoT-enabled appliance predict its state of health by establishing many-to-many interactions on Internet?”