Preventing Stroke Risk using an Algorithm-Based Medical Network

Abstract

According to the World Health Organization, 15 million people worldwide suffer from a stroke every year. Of these, five million die, and another five million experience prolonged periods of immobility. In four out of 10 fatal cases, patients could have survived if their blood pressure had been controlled in a timely manner. There are many developments in the early prevention of stroke. The authors reviewed the latest achievements in this area of diagnostics and got the idea that it is necessary to create an Internet platform that works on the principle of an algorithm-based social network. Users could enter their basic medical data and receive an estimate of the risk of different types of stroke, as well as recommendations for preventing them. The more people using this platform, the more accurate the risk analysis would be. This project could make a contribution to machine learning in medicine, as well as to improving the quality of life of millions of people.