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Cardiovascular disease is the leading cause of death for U.S. men and women. Doctors diagnose someone with the condition every forty three seconds. Finding new and better ways to speed the diagnosis of heart disease couldn’t be more important. So, we’re pleased to take part in a program aimed at applying technology to help — potentially improving the care of heart disease patients, and helping them live longer, healthier lives.
We’re supporting the second annual Data Science Bowl competition, collaborating with Booz Allen Hamilton, Kaggle’s data scientist community and the National Institutes of Health. In the competition, data scientists from around the world will work to help transform the diagnosis of heart disease. During the 90-day competition, teams will develop machine learning algorithms to analyze a thousand MRI images of existing patients. The goal: systems that automatically identify early indicators of heart disease. The team with the most accurate algorithm will win $125,000. The second and third-place teams get $50,000 and $25,000, respectively.
We’re supporting the second annual Data Science Bowl competition, collaborating with Booz Allen Hamilton, Kaggle’s data scientist community and the National Institutes of Health. In the competition, data scientists from around the world will work to help transform the diagnosis of heart disease. During the 90-day competition, teams will develop machine learning algorithms to analyze a thousand MRI images of existing patients. The goal: systems that automatically identify early indicators of heart disease. The team with the most accurate algorithm will win $125,000. The second and third-place teams get $50,000 and $25,000, respectively.