According to official statistics, since the beginning of 2020, cardiovascular diseases (CVD) in Russia have increased by a quarter. Russia still has a high mortality rate from cardiovascular diseases. In this regard, an algorithm is needed to estimate the probability of a vascular catastrophe in order to anticipate its occurrence. The main criterion is the reduction of mortality from CVD.
Since the result can only be evaluated in dynamics after at least 2 years after the introduction of the federal program, it is proposed to use the solution of the following tasks to determine the successful solution of the project:
- Creating an algorithm for estimating the probability of a vascular catastrophe.
- Creating a digital profile of the patient within the personal account of the EGISZ.
- Timely notification of the patient by means of automatic mailing-invitations to CVD prevention based on the results using Machine Learning algorithms.
- Notifying the doctor with the help of the service about the patient's risk group in the EGISZ and developing individual recommendations for examination and treatment.