Intensive Care Unit (ICU) Patient Data and Chronic Conditions The WiDS Datathon 2021 focuses on patient health, with an emphasis on the chronic condition of diabetes. Getting a rapid understanding of the context of a patient’s overall health has been particularly important during the COVID-19 pandemic as healthcare workers around the world struggle with hospitals overloaded by patients in critical condition. ICUs often lack verified medical histories for incoming patients, and knowledge about chronic conditions can inform patient care and ultimately improve patient outcomes. The WiDS Datathon 2021 will focus on creating models to classify whether patients have been diagnosed with a certain type of diabetes, which could inform their treatment in the ICU. The WiDS Datathon 2021 dataset is similar to the data featured in last year’s WiDS Datathon in collaboration with MIT’s GOSSIS (Global Open Source Severity of Illness Score) Initiative, but prior experience is not needed. You can read more about this year’s data on Kaggle.  “The WiDS Datathon always focuses on topics with significant social benefit,” said Karen Matthys, Stanford ICME Executive Director, External Partners and Co-Director of the WiDS Conference. “We hope that machine learning can help healthcare workers make more informed decisions for critical ICU patients, especially during the COVID-19 pandemic.” Worldwide Datathon Participation The WiDS Datathon, which requires that teams are comprised of at least 50 percent women, brings people together across borders and backgrounds. WiDS Datathon 2020 participants included more than 3,000 registrants from 85 countries, and the winning teams were from Israel, Ukraine, and France. In the 2020 WiDS Datathon, 80 percent of the registrants identified as female, compared to a typical Kaggle competition that has less than 20 percent women participants. More than 70 percent of last year’s surveyed participants said they gained new skills in data science by participating in the competition. We invite anyone, from those new to data science to veterans of the field, to participate, including from academia, government, NGOs, or industry. Tutorials and Workshops For those who are new to data science and machine learning, we offer tutorials. Select WiDS ambassadors around the world are also hosting workshops where you can form teams and work with mentors. Awards This year, the WiDS Datathon will award a total of $12,000 in VIP conference tickets and cash prizes. In Phase 1, open January 6 - March 1, participants will submit their entries to be eligible for VIP tickets to the WiDS Worldwide Conference in 2022 and cash prizes. The top three individuals or teams on the leaderboard will be announced at the first 24-hour virtual Women in Data Science (WiDS) Worldwide Conference on March 8, 2021. Datathon Excellence in Research Award In Phase 2 of the datathon, we host our annual WiDS Datathon Excellence in Research Award that encourages deeper exploration and the development of collaborative data science innovations. The WiDS Datathon Committee and the National Science Foundation Big Data Innovation Hubs invite participants to apply for this award by writing a paper about their WiDS Datathon 2021 work. Participants are encouraged to share a bit about how and why they became involved in the datathon, and to describe their assumptions, analysis, and insights. The Excellence in Research Award includes VIP registration for the WiDS Worldwide Conference in 2022 and a $3,000 USD cash prize. Additionally, up to $2,500 USD will be distributed for honorable mentions across submitted research papers. Submissions will be open from March 9 - April 30, 2021. Begin competing in the WiDS Datathon 2021:
We look forward to seeing your entries!  The WiDS Datathon is a collaboration led by the WiDS Worldwide team at Stanford University, the West Big Data Innovation Hub, and the WiDS Datathon committee, and is made possible by WiDS Global Visionary Sponsors: Facebook, Intuit, Walmart Labs, and Wells Fargo. WiDS Datathon 2021 cash prizes are provided by Kaggle and the Excellence in Research Award is supported by the National Science Foundation under Grants 1916573, 1916481, 1915774, as part of a network of Big Data Innovation Hubs.
Comments are closed.
|
RSS Feed