RESEARCH OF MODELS AND ALGORITHMS OF REMOTE MONITORING OF ARTERIAL PRESSURE

Monitoring blood pressure is an important aspect of human health. Modern technologies for monitoring blood pressure allow for increased accuracy of measurements and facilitate the process of controlling this health indicator. The use of artificial intelligence and machine learning can help develop even more accurate and convenient monitoring methods, which will be beneficial for many people around the world.

This article explores the tasks of developing a predictive algorithm for identifying individuals at high risk of developing hypertension without the need for invasive clinical procedures.