Crowdsourced Algorithm Could Transform Heart Disease Diagnosis

The annual Data Science Bowl hosted by Booz Allen Hamilton and Kaggle is based on the premise that crowdsourced solutions can be used to solve some of our world's most complex problems. This year, the focus was on heart health – an issue of critical importance worldwide. In the U.S. alone, one person is diagnosed with heart disease every 43 seconds. It typically takes 20 minutes to have an MRI analyzed and a diagnosis delivered. However, this year's Bowl managed to create an algorithm that allows your doctor to receive your results and prognosis in real-time.