System for autonomous treatment of a patient with arterial hypertension, basing on artificial intelligence methods

摘要

The system consists of a range of network services, applications, and above all artificial intelligence mechanisms (including neural networks, statistical and regulatory methods),which may prove more effective, reliable and predictable in optimising treatment at individual patient level compared to a traditional decision -making approach,knowledge and experience of a doctor.The system uses deep neural RNN (recurrent), CNN (convulsive) networks and LSTM (long short -term memory) architecture, which are run sequentially,and their results are mediated and balanced, autonomously "learning" based on diagnosis, recommendations and treatment effects in patients using our system.The idea of the system is to self -improve as the amount of data supplied by doctors and patients increases.