Morpheus HealthSystem: implementação de API RESTful para telemedicina e diagnostico de distúrbios do sono com Machine Learning

Abstract

The growing demand for technological solutions in healthcare highlights the importance of tools that facilitate the diagnosis and treatment of diseases. Disorders such as sleep bruxism affect millions of people, with significant implications for health and quality of life. However, current diagnostic methods are often expensive, time-consuming, and inaccessible. This work focuses on the development of a RESTful API as the core infrastructure for an innovative platform, designed for the collection, maintenance, and processing of clinical data on sleep disorders. The API was designed to be the integration hub between different components of the ecosystem, such as web and mobile applications, and data collection hardware, establishing the technical foundation for the future implementation of pre-diagnostic models based on Artificial Intelligence. By creating a robust and scalable architecture, the project enables the future incorporation of automated analyses, promotes interoperability, and aligns with the demand for integrated, low-cost health technologies, aiming to positively impact the lives of millions.