Design and Development of Consensus Activation Function Enabled Neural Network-Based Smart Healthcare Using BIoT

In the healthcare region, Internet of Things (IoT) plays a major role in various fields and is developed as a common technique. An enormous amount of data is collected from various sensing equipment owing to the increasing demand for IoT. There occur a few challenges in the designing and developing of analyzing the huge amount of data resource limitations, absence of suitable training data, centralized architecture, privacy, and security. These issues are resolved by incorporating blockchain technology, they provide a decentralized mechanism and also ensure safe transmission of data. Blockchain technology majorly assists the caretaker to reveal the encrypted genetic codes by ensuring the security level for secure data transfer and enabling the secure transmission of patient electronic health records. The smart doctor has the accessibility to decrypt the data which is in encrypted form and after verifying the condition of the patient, the report is securely transmitted to the hospital cloud with the same encryption process. Only the relevant features are selected and are delivered to the optimized neural network with the consensus activation function. The neural network classifier performance is enhanced by the utilization of smart echolocation optimization in the developed method. The consensus activation function majorly helps to capture only the significant features for further training the model and which improves the classification accuracy. The trained model is compared with the test data to predict the disease affected the patient in the n number of hospitals.