How Big Data is Helping Predict Heart Disease

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Heart disease is the leading cause of death in America. One out of every four people who die, pass away because of heart disease.

Thanks to big data though, doctors and scientists are making progress on being able to predict heart disease and find which treatments are the most effective.

Our Current Fight Against Heart Disease

As it stands right now, diagnosing heart disease requires a person to take a variety of medical tests to find. There is often minimal symptoms that can clue in a person that they have heart disease, except massive things like a heart attack.

Because there are minimal noticeable symptoms for heart disease, doctors have to look for clues in every checkup, like high blood pressure, being overweight, or having difficulty breathing.

When it comes to treating heart disease, we have methods for decreasing the chances of a dangerous incident, like a heart attack or stroke, but no clear way to cure it. Treatment methods can include medication to lower blood pressure or thin the blood to decrease the chance of clotting and stroke, getting a pacemaker, and more.

Since we have no clear way to cure heart disease, it comes down to predicting and preventing it from becoming a problem …

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