News | Computer-Aided Detection Software | January 04, 2016

Second Annual Data Science Bowl Crowdsources Heart Disease Diagnosis Solutions

Participants will use cardiac MRI images to create algorithm to automate real-time cardiac measurement, with $125,000 prize for most accurate solution

Data Science Bowl, second annual, algorithm, heart disease diagnosis

January 4, 2016 — Booz Allen Hamilton  and Kaggle 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 magnetic resonance imaging (MRI) images and asked to develop an algorithm to automate the measurements that are key indicators of heart disease.

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 dataset 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 dataset 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 Michael S. Hansen, M.D., 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 vendor 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, Calif.), where they plan to have the winning teams present their results.

For more information: www.datasciencebowl.com

Related Content

NIAID Scientists Illuminate Mechanism of Increased Cardiovascular Risks With HIV
News | Cardiac Diagnostics| September 14, 2017
September 14, 2017 — Scientists at the National Institutes of Health have expanded the understanding of how chronic i
Marijuana Associated With Three-Fold Risk of Death From Hypertension
News | Hypertension| September 14, 2017
Marijuana use is associated with a three-fold risk of death from hypertension, according to research published recently...
News | Cardiac Diagnostics| September 12, 2017
Contracting shingles, a reactivation of the chickenpox virus, increases a person’s risk of stroke and heart attack,...
Vascular screening for abdominal aortic aneurysm, peripheral artery disease and hypertension during the VIVA Study in Denmark

Vascular screening for abdominal aortic aneurysm, peripheral artery disease and hypertension during the VIVA Study. Photo credit: Lisbeth Hasager Justesen, Viborg Hospital.

News | Cardiac Diagnostics| September 12, 2017
September 12, 2017 — A new screening program for vascular disease saves one life for every 169 men assessed, accordin
Systolic Blood Pressure at Time of STEMI PCI May Predict In-Hospital Mortality
News | Cath Lab| September 11, 2017
September 11, 2017 — Researchers have led a retrospective single-center...
PURE study may cause revision of fat intake guidelines for cardiology.
Feature | ESC| September 07, 2017
September 7, 2017 — Researchers at the European Society of Cardiology (ESC) Congress called for a reconsideration of
Florida Medical Center First in State to Offer High Sensitive STAT Blood Test
News | Blood Testing| September 07, 2017
In July, The Heart Institute at Florida Medical Center became the first hospital in the state of Florida to offer the U...
Heart Failure Patients, Clinicians Have Differing Perceptions of Risk Level
News | Heart Failure| September 06, 2017
September 6, 2017 — Physicians identified a majority of patients with advanced...
Advances in FFR, FFR-CT, was the most popular cardiology story in August 2017.

The most popular article in August was about advances in fractional flow reserve (FFR) technologies. The image shows Philips' new version of its iFR system that displays hemodynamic pressure drop points in an overlay on live angiographic images, matching up the iFR readings with corresponding lesions.

Feature | September 01, 2017 | Dave Fornell
September 1, 2017 — Here is the list of the most popular articles and videos on the Diagnostic and Interventional Car
Sponsored Content | Videos | Cardiovascular Ultrasound| August 30, 2017
This video educational session, provided in partnership with the American Society of Echocardiography (ASE), is title
Overlay Init