Advancing Neurodegenerative Disease Management: The NeuroPredict Platform Integrating IoT, AI, and Cloud Technologies

Abstract

Worldwide healthcare systems face considerable challenges from neurodegenerative disorders including multiple sclerosis, Parkinson's disease, and Alzheimer's disease, especially as the population ages. For these complex conditions, traditional healthcare approaches tend to come inadequate in providing the comprehensive, real-time monitoring required. As a result, cutting-edge technologies like artificial intelligence and the Internet of Things have become critical resources for improving remote patient monitoring and healthcare outcomes. The NeuroPredict platform proposes an innovative approach to overcome these challenges. The NeuroPredict platform regularly gathers considerable health and environmental data required for customized healthcare management by integrating a wide range of IoT devices through a smart environment; then it analysis this data using AI algorithms to find patterns, predict whether the medical condition will change over time, and provide tailored insights for the patient. This paper focuses on some distinct features and functionalities of the NeuroPredict platform. It delves on the integration of IoT devices, making use of advanced AI for data analysis, while a reliable data recovery application is developed within the ICIPRO cloud environment.

Ähnliche Arbeiten