Twitter's role is not just to make you share your cat pictures, it can also be used to map the proportion of heart disease, researchers at the University of Pennsylvania have discovered this feature.
On January 20, a study published in the journal psychological science, which shows people will use Twitter to express personal feelings, such as anger, stress, and exhaustion, they basically are associated with heart disease; on the contrary, positive emotions such as excitement will reduce the incidence of some diseases.
According to the study authors explain, for heart disease, and some causes are unable to track the scope of, such as the constant pressure. Also, if you have to locate the cause, the cost is very expensive. But Twitter provides a very useful window of data it collects users common mental state; Moreover, Twitter is an ideal platform, because people not only in a sustainable manner to share their most sincere feelings and thoughts, can hear different sounds.
"Twitter with billions of users every day to write your own life experiences, thoughts and feelings. For psychological research, social media world is a front, "the researchers said," these data if they can play a role in the real world, can be used as a public health tool. "
Researchers studied is the United States, and scope lock time intervals in 2009 to 2010. Only those shows where pushing literary talent will be studied. , This paper studies the personnel tweets these data and the United States Centers for disease control and prevention compared 1300 local county data. iWatch Case X-DORIA iWatch Case
From the chart below, you will see Twitter predict heart disease incidence map (right) and from the professional body appears very similar to the actual rates of heart disease.
In fact, compared to traditional methods, researchers say Twitter can better outline the heart rate distribution chart. Traditional heart disease prediction models typically integrate 10 factors, such as demographic, social, economic, and health risk factors such as smoking, diabetes, high blood pressure, and obesity and so on; but in predicting mortality when relying on Twitter posting this model more accurate.
Some explanation below:
Negative emotional language and themes, such as with dirty words and "hated" vocabulary of the Tweets, and heart disease mortality has a lot to do, there are also other "variables" (actually other users ' data, such as personal income and educational background, and so on) can also be used Twitter models. And positive energy, emotional language displays a positive experience, as with "awesome" and "friend" these tweets, we can prevent heart disease.
In fact, many people did not expect tweets there is such a relationship between mortality and heart disease, after all, send a few angry words or topics, does not mean they will die because of heart disease. But if the people around you are very angry with you, then you may have a risk of heart disease.
Tweets and very close relationship between the emotional state, has an impact on health, University of Pennsylvania, did a lot of research in this regard, they thought Twitter was a "coronary heart disease indicator", an ideal channel for analysis.
VIA BI
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