A Predictive Modeling approach for Early Detection of Hypertension
The design and development of a real-time predictive system for early detection of hypertension risk by continuously streamed physiological parameters such as BP, HR, Peripheral oxygen saturation, and body temperature and the use of cheap IoT sensing in combination with light weight machine learning is presented.