An intelligence module for Health Care IoT Applications
IoT, Health Care, Platform, Smart Cities
The Internet of Things is booming and more and more devices are connected, generating massive amounts of data. Usually this large amount of data is not used to discover additional information. This is also a reality in healthcare, where large amounts of data can already be generated from devices that use open protocols or connected open source hardware sensors, such as environment sensors or human body sensors. This dissertation aims to propose an intelligence module that can, obtaining data from IoT sensors in health, return categorization and prognostic information of medical complications, thus bringing direct benefits to the patient's health as well as streamlining the patient's health. hospital care and cost reduction.