Nowadays, the pace of human life is increasing, life is increasingly busy, and health factors, which have always been essential, do not receive much importance. People in general, and in Vietnam in particular, because it is a developing country, most people are caught up in the daily work of making a living and ignore the health factors of themselves and their loved ones, leading to consequences. unfortunate result due to late detection. According to 2015 statistics [1], each year in Vietnam, more than 200,000 people have strokes (cerebrovascular accidents), more than 50% of whom die and 90% of people who survive strokes have to live with neurological and motor sequelae. In the past three years, the number of patients hospitalized for stroke has tended to increase from 1.7% - 2.5%. Among them, the incidence rate in men is 4 times higher than in women. More seriously, the age of stroke patients is gradually getting younger, from 40 - 45 years old compared to 50 - 60 years old in the past. The number of patients with disabilities due to stroke tends to increase sharply with many complications, severe illness. Preventing the above condition is a long process and when the incident occurs, if detected immediately, the opportunity to cure the patient and minimize the possibility of disability is great. Thereby, the question is how to monitor the patient's health long-term as well as detect immediately when an incident occurs. In particular, with AI technology increasingly developing, applying AI to healthcare is urgent. So how can we apply AI features to diagnose patients?
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Nowadays, the pace of human life is increasing, life is increasingly busy, and health factors, which have always been essential, do not receive much importance. People in general, and in Vietnam in particular, because it is a developing country, most people are caught up in the daily work of making a living and ignore the health factors of themselves and their loved ones, leading to consequences. unfortunate result due to late detection. According to 2015 statistics [1], each year in Vietnam, more than 200,000 people have strokes (cerebrovascular accidents), more than 50% of whom die and 90% of people who survive strokes have to live with neurological and motor sequelae. In the past three years, the number of patients hospitalized for stroke has tended to increase from 1.7% - 2.5%. Among them, the incidence rate in men is 4 times higher than in women. More seriously, the age of stroke patients is gradually getting younger, from 40 - 45 years old compared to 50 - 60 years old in the past. The number of patients with disabilities due to stroke tends to increase sharply with many complications, severe illness. Preventing the above condition is a long process and when the incident occurs, if detected immediately, the opportunity to cure the patient and minimize the possibility of disability is great. Thereby, the question is how to monitor the patient's health long-term as well as detect immediately when an incident occurs. In particular, with AI technology increasingly developing, applying AI to healthcare is urgent. So how can we apply AI features to diagnose patients?
