Cardiovascular Disease Prediction

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Usecases / Health


Cardiovascular diseases (CVD) are a major cause of death. According to the World Health Organization 17.91 million people die each year of CVD. Many of these deaths (which occur in 85% of cases as a consequence of a heart attack or a stroke) could be avoided with a quicker access to medical emergency care.

Some could even be avoided with adequate drug treatment before the attack happens. But how can the medical staff know before the occurrence of the heart attack that it’s time for these medical cares (drugs, hospitalization)?


Technology and more specifically Artificial Intelligence (AI) can provide medical doctors, nurses, emergency room caregivers, general practitioners with new tools which help them better, quicker diagnose these diseases.

Problems to solve

  • Is it possible to predict if a patient is likely to have a heart attack knowing his/her age, gender, blood pressure, cholesterol level, maximum heart rate?
  • Can machine learning be used to anticipate a heart attack and put the patient under the relevant drugs before it happens? Or even drive the patient to the hospital right before the heart attack takes place?
  • How accurate is it to make such a prediction about heart attacks?
  • Is it even possible for a someone not trained in medicine in any way to identify a risk of heart attack?