SISTEMA INTELIGENTE DE COMBATE A SUBNOTIFICAÇÃO DE DOENÇAS

Abstract

The general population does not have quick means of notifying health problems that can get worse without adequate assistance. This work intends to present a solution that allows the population to notify the symptoms that indicate diseases that can be treated by the health system, allowing professionals to assist these people efficiently. It is intended to make the population aware of the importance of notifying symptoms to public health professionals, allowing them to provide adequate care. As a result, a Web system open to the entire population was developed, completely free of charge, with the aim of disseminating information to combat and prevent diseases. Containing a personalized area for the administrator to publish news and images related to the information available on the platform and a personalized area for registered users, containing exclusive news and information related to their health. An area with news was also built in which the user can leave his comment for everyone to see. A prototype of the system screens was built using the Figma tool. The Cacoo tool was used to create use case and class diagrams, necessary for the development of the project. For development, we used Microsoft's VsCode software as our main tool, along with its various extensions, associated with JavaScript, TypeScript, C#, and their frameworks, Angular and .NET. As data storage, PostgreSql relational database was chosen. The Toxicity Classifier, a library with TensorFlow artificial intelligence resources, was used to prevent and classify inappropriate comments.