Second Annual Data Science Bowl Crowd-Sources Solutions to Transform Heart Disease Diagnosis, Catalyzes Data Science Community around Vital Global Health Challenge

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Cardiovascular disease causes more than 30 percent of deaths around the globe each year. The second annual Data Science Bowl will call on data scientists to help transform diagnosis of heart disease.

MCLEAN, Va.--()--Each year, cardiovascular disease causes more than 30 percent of deaths around the globe. In the United States, someone is diagnosed with the condition once every 43 seconds. Finding a way to enhance and expedite the diagnosis of heart disease requires the attention and support of public and private sector organizations worldwide.

Booz Allen Hamilton (NYSE: BAH) and Kaggle today announced that the second annual Data Science Bowl will call on the global data science community to create a set of steps, or algorithms, to help transform diagnosis of heart disease. Through a partnership with the National Institutes of Health (NIH), participants in the 90-day competition will be given MRI images and asked to develop an algorithm to automate the measurements that are key indicators of heart disease.

“This competition will empower data scientists from across the world to improve both the ability to diagnose and the capacity to care for those with heart disease, enabling people to live longer, healthier lives,” said Booz Allen Hamilton President and Chief Executive Officer Horacio Rozanski. “Booz Allen is proud to be a leader in pursuing data science for social good. This project has great potential to demonstrate how data scientists solve problems that affect millions of people each and every day.”

“We hope the Data Science Bowl will be rewarding and fun for our competitors,” said Senior Vice President Josh Sullivan. “But above all, we expect that this competition will significantly progress vital cardiac research through advanced analytics. It is that critical, real intersection of data science and healthcare that makes us most proud.”

The heart’s ability to efficiently pump blood is currently measured through a manual process that takes a specially trained cardiologist approximately 20 minutes to complete – vital time the physician could be spending with his or her patients. The Data Science Bowl’s data set features more than 1,000 images from a broad spectrum of individuals with different ages and genders, ensuring the winning algorithm will be able to handle the varying, yet precise demands of real-world patient-care while drastically cutting the time and cost of the traditional process.

“Combining our rich data set with the collective power of data scientists presents a truly unique opportunity to redefine heart health research in just three months – an almost unbelievably short period of time in this industry,” said Dr. Michael S. Hansen, a NIH specialist in fast MRI techniques for real-time imaging and interventional procedures. “This competition demonstrates advanced analytics’ ability to amplify the impact of the individual analyst, and real-time cardiac measurement promises to significantly improve care where it matters most; at the doctor-patient level.”

At the close of the competition, the algorithm will be released in an open-source format, which will allow cardiologists and NIH researchers to explore its integration with diagnostic technologies. The participants who deliver the most accurate algorithm will be granted $125,000, with the second and third-place teams receiving $50,000 and $25,000, respectively. This year, visual computing leader and special Data Science Bowl sponsor NVIDIA contributed $25,000 in prize money, and will provide all participants with free access to online deep learning courses. NVIDIA will also provide the three winning teams with free passes to its 2016 GPU Technology Conference (April 4-7, 2016, in San Jose, California), where they plan to have the winning teams present their results.

"This year's Data Science Bowl will be one of the most difficult computer vision problems our community has ever approached," said Kaggle CEO Anthony Goldbloom. "It also represents an exciting opportunity for data scientists around the world to collaboratively aid and advance heart health research. We're thrilled to be partnering with Booz Allen Hamilton and the National Institutes of Health in hosting this one of a kind challenge."

The Data Science Bowl is a component of Booz Allen Hamilton’s continued support of data science education and awareness. The firm has also made a concerted effort to distribute industrywide best practices via its recently updated Field Guide to Data Science, a handbook that captures the discipline born of Booz Allen’s 600+ person data science team. In 2014, Booz Allen and Kaggle’s first annual Data Science Bowl challenged the global data science community to develop an algorithm that could better measure oceanic health at a speed and scale never before possible, in partnership with the Hatfield Marine Science Center at Oregon State University.

For more information on the competition, please visit

About Booz Allen Hamilton

Booz Allen Hamilton has been at the forefront of strategy and technology for more than 100 years. Today, the firm provides management and technology consulting and engineering services to leading Fortune 500 corporations, governments, and not-for-profits across the globe. Booz Allen partners with public and private sector clients to solve their most difficult challenges through a combination of consulting, analytics, mission operations, technology, systems delivery, cybersecurity, engineering, and innovation expertise.

With international headquarters in McLean, Virginia, the firm employs more than 22,500 people globally, and had revenue of $5.27 billion for the 12 months ended March 31, 2015. To learn more, visit (NYSE: BAH)

About Kaggle

Kaggle is the world's largest online data science competition community. With more than 422,000 active members across 194 countries, the Kaggle community uses its diverse set of academic backgrounds to solve complex data science problems. Working as individuals or in teams, the winning competitors are awarded prizes and industry recognition for their accomplishments. The top competitors are invited to work on the most interesting and sensitive business problems from some of the world’s biggest companies through Masters Competitions.

About The National Heart, Lung, and Blood Institute (NHLBI)

The National Heart, Lung, and Blood Institute (NHLBI), part of the National Institutes of Health, provides global leadership for a research, training, and education program to promote the prevention and treatment of heart, lung, and blood diseases and enhance the health of all individuals so that they can live longer and more fulfilling lives. The NHLBI stimulates basic discoveries about the causes of disease, enables the translation of basic discoveries into clinical practice, fosters training and mentoring of emerging scientists and physicians, and communicates research advances to the public. It creates and supports a robust, collaborative research infrastructure in partnership with private and public organizations, including academic institutions, industry, and other government agencies. The Institute collaborates with patients, families, health care professionals, scientists, professional societies, patient advocacy groups, community organizations, and the media to promote the application of research results and leverage resources to address public health needs. The NHLBI also collaborates with international organizations to help reduce the burden of heart, lung, and blood diseases worldwide.



Booz Allen Hamilton
Kimberly West, 703-377-1403

Release Summary

Cardiovascular disease causes more than 30 percent of deaths around the globe each year. The second annual Data Science Bowl will call on data scientists to help transform diagnosis of heart disease.


Booz Allen Hamilton
Kimberly West, 703-377-1403