In the United States, lung cancer strikes 225,000 people every year, and accounts for $12 billion in health care costs. Early detection is critical to give patients the best chance at recovery and survival.
One year ago, the office of the U.S. Vice President spearheaded a bold new initiative, the Cancer Moonshot, to make a decade's worth of progress in cancer prevention, diagnosis, and treatment in just 5 years.
In 2017, the Data Science Bowl will be a critical milestone in support of the Cancer Moonshot by convening the data science and medical communities to develop lung cancer detection algorithms.
Using a data set of thousands of high-resolution lung scans provided by the National Cancer Institute, participants will develop algorithms that accurately determine when lesions in the lungs are cancerous. This will dramatically reduce the false positive rate that plagues the current detection technology, get patients earlier access to life-saving interventions, and give radiologists more time to spend with their patients.
This year, the Data Science Bowl will award $1 million in prizes to those who observe the right patterns, ask the right questions, and in turn, create unprecedented impact around cancer screening care and prevention. The funds for the prize purse will be provided by the Laura and John Arnold Foundation.
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![BAH Lung](https://storage.googleapis.com/kaggle-media/competitions/kaggle/6004/media/illustration-lung-3.5.jpg)
Acknowledgments
The Data Science Bowl is presented by
![BAH and Kaggle](https://storage.googleapis.com/kaggle-media/competitions/kaggle/3978/media/booz_kaggle.png)
Competition Sponsors
Laura and John Arnold Foundation
Cancer Imaging Program of the National Cancer Institute
American College of Radiology
Amazon Web Services
NVIDIA
Data Support Providers
National Lung Screening Trial
The Cancer Imaging Archive
Diagnostic Image Analysis Group, Radboud University
Lahey Hospital & Medical Center
Copenhagen University Hospital
Supporting Organizations
Bayes Impact
Black Data Processng Associates
Code the Change
Data Community DC
DataKind
Galvanize
Great Minds in STEM
Hortonworks
INFORMS
Lesbians Who Tech
NSBE
Society of Asian Scientists & Engineers
Society of Women Engineers
University of Texas Austin, Business Analytics Program,
McCombs School of Business
US Dept. of Health and Human Services
US Food and Drug Administration
Women in Technology
Women of Cyberjutsu