부산대학교 도서관

Since knowing the likelihood of contracting an illness is crucial to maintaining a healthy lifestyle, disease prediction systems have made significant contributions to people’s daily lives. New data mining methods have allowed for the development of illness forecasting models. In particular, Single-Layer Perceptron may be used to extract useful information for building a disease prediction system from the mountain of medical data created daily. Many obstacles, such as information security and prediction efficiency, may restrict the practical application of the illness prediction system, despite its considerable promise. Therefore, determining the illness and safeguarding the data are the primary goals of the study. Many forms of preprocessing, including resizing, augmenting, and min-max based normalisation, are used to the raw data acquired by IoT devices. This process culminates in the use of a classifier based on the sparrow search optimization algorithm (SSOA) and the vibrational auto encoder (VAE) to distinguish between unhealthy and healthy occurrences. Finally, the Smartphone notifies the staff and administration in the event of a sickness incident.