Description - Second Annual Data Science Bowl _ Kaggle

05/02/2016Description ­ Second Annual Data Science Bowl | Kaggle Host Competitions Datasets Scripts Jobs Community ▾Velu Pandian Ravichandran Logout $200,000 • 460 teams Second Annual Data Science Bowl Mon 14 Dec 2015 Dashboard Home Data Make a submission Information Description Evaluation Rules Prizes About the DSB Deep Learning Tutorial Fourier Based Tutorial Resources Timeline Forum Leaderboard My Submissions Leaderboard 1. heart 2. Tencia & woshialex 3. Mike Merger and 1st Submission Deadline Mon 14 Mar 2016 (38 days to go) Competition Details » Get the Data » Make a submission Transforming How We Diagnose Heart Disease We all have a heart. Although we often take it for granted, it's our heart that gives us the moments in life to imagine, create, and discover. Yet cardiovascular disease threatens to take away these moments. Each day, 1,500 people in the U.S. alone are diagnosed with heart failure—but together, we can help. We can use data science to transform how we diagnose heart disease. By putting data science to work in the cardiology field, we can empower doctors to help more people live longer lives and spend more time with those that they love. Declining cardiac function is a key indicator of heart disease. Doctors determine cardiac function by measuring end-systolic and end-diastolic volumes (i.e., the size of one chamber of the heart at the beginning and middle of each heartbeat), which are then used to derive the ejection fraction (EF). EF is the percentage of blood ejected from the left ventricle with each heartbeat. Both the volumes and the ejection fraction are predictive of heart disease. While a number of technologies can measure volumes or EF, Magnetic Resonance Imaging (MRI) is considered the gold standard test to accurately assess the heart's squeezing ability. 4. PaulG 5. Tim Hochberg 6. BoShuang 7. nagadomi 8. Keras.io 9. BioMedIA 10. h-wit Forum (113 topics) Java 7 hours ago Keras Deep Learning tutorial (~0.0359) 20 hours ago nolearn BatchIterator question 22 hours ago The results need to be reproducible? yesterday Would anyone with score <0.017 like to team up? yesterday https://www.kaggle.com/c/second­annual­data­science­bowl 1/3 Making this measurement process more efficient will enhance doctors' ability to diagnose heart conditions early. We can give people the opportunity to spend more time with the ones they love. A skilled cardiologist must analyze MRI scans to determine EF. This data set was compiled by the National Institutes of Health and Children's National Medical Center and is an order of magnitude larger than any cardiac MRI data set released previously.000 patients. Acknowledgments The Data Science Bowl is presented by: https://www.com/c/second­annual­data­science­bowl 2/3 .kaggle. but together we can push the limits of what's possible. is that the process is manual and slow. however. The 2015 Data Science Bowl challenges you to create an algorithm to automatically measure end-systolic and end-diastolic volumes in cardiac MRIs. This is not an easy task. for longer than ever before. You will examine MRI images from more than 1. With it comes the opportunity for the data science community to take action to transform how we diagnose heart disease. The process can take up to 20 minutes to complete—time the cardiologist could be spending with his or her patients.05/02/2016 Description ­ Second Annual Data Science Bowl | Kaggle yesterday Sunnybrook data yesterday teams players entries The challenge with using MRI to measure cardiac volumes and derive ejection fraction. and carries broad implications for advancing the science of heart disease treatment. com/c/second­annual­data­science­bowl 3/3 . Michael Hansen and Dr. and Blood Institute (NHLBI) provided the MRI images for this competition. Monday 14 March 2016 UTC (91 total days) Points: this competition awards standard ranking points Tiers: this competition counts towards tiers © 2016 Kaggle Inc About Our Team Careers Terms Privacy Contact/Support https://www.kaggle. Monday 14 December 2015 UTC Ends: 11:59 pm. Special thanks to NHLBI Intramural Investigators Dr.05/02/2016 Description ­ Second Annual Data Science Bowl | Kaggle The National Heart. Additional support for the Data Science Bowl was provided by NVIDIA: Started: 2:00 pm. Lung. Andrew Arai.