A Remote Medical Monitoring System Based on Data Mining

The field of e-health is experiencing rapid and growing progress with the evolution of the means of communication and health data acquisition through smart watches such as heart rate, temperature, glucose level.,... etc. This work proposes a system of automatic remote monitoring of the health of individuals based on smart watches worn by patients and doctors as well as a centralized server of the administration. The former uses accumulated patient data to build decision models using machine learning methods. These models are used to automatically track the health of patients. The system has been designed, implemented and validated on data concerning cardiovascular diseases.