Machine Learning tackles Ocean Health, Heart Health, Lung Cancer, and… The Data Science Bowl Machine Learning tackles Ocean Health, Heart Health, Lung Cancer, and… Kirk Borne, Principal Data Scientist, Booz Allen Hamilton http://www.datasciencebowl.com/ Data Science For Social Good 2017

A commitment to change the world through data science. Data Science Bowl A commitment to change the world through data science. 2

2015: Assessing Ocean Health 3 http://www.datasciencebowl.com/

2016: Transforming Heart Disease Diagnosis 4 http://www.datasciencebowl.com/

2017: AI vs Lung Cancer Why is accurate diagnosis so hard? 5 http://www.datasciencebowl.com/ Courtesy of L. Schwartz, MD, Columbia University

Why lung cancer? 6

http:// concepttoclinic.drivendata.org Results Participation 10,000 participants forming 2,000+ teams Contributed an estimated 160,000 hours Winning teams Liao Fangzhou and Zhe Li, two researchers from China’s Tsinghua U. with no formal medical background Julian de Wit and Daniel Hammack, software and machine learning engineers based in the Netherlands (Julian placed third in the 2016 Data Science Bowl) Team Aidence, from a Netherlands-based company that applies deep learning to medical imagery Technical Results Preliminary findings suggest top 10 solutions outperform best-in-class models by 10% with lower false positives. Currently working to integrate ensemble models of winning solutions into clinical prototypes: A first step in getting the results into clinical use is integrating the algorithms into practical, open-source, clinic-ready software and systems. The Bonnie J. Addario Lung Cancer Foundation and DrivenData are using the prize-winning models to host a challenge to do just that. Competition launched August 2017: http:// concepttoclinic.drivendata.org 7

We would like to hear your ideas… Data Science Bowl #4 plans are in progress: The data set and challenge problem are coming into focus The launch date will be in the timeframe January 2018 (+/- one month) The competition will run for 3 months Prizes will comparable to previous years We are looking for ideas for future challenge problems and hard data sets that have societal impact. What is the next big challenge we should tackle? How do we amplify the impact even more? How can we help competitors through technology, mentorship, improved collaboration, etc.? http://www.datasciencebowl.com/ 8