Real time health care big data analytics model for improved QoS in cardiac disease prediction with IoT devices

ConclusionThe value of Trusted Forwarding Weight (TFW) and Trusted Carrier Weight is used to determine the route (TCW). Sensor based IoT values like Pressure glucose, pulse oximeter, and temperature etc. the following parameters like classification accuracy and false ratio are calculated based on efficient machine learning model. The crucial support system receives the values it receives after each reception together with the features that were derived from the packet. The classification is carried out by calculating the Feature Disease Class Similarity, and the decision support system clusters the huge data using the FDS clustering technique.
Source: Health and Technology - Category: Information Technology Source Type: research