Diabetes is a global pandemic. Characterized by chronic high blood glucose levels (hyperglycemia) due to the body’s failure to produce enough insulin, diabetes affects over 9% of the population in the US alone, and of those people, approximately 25% are undiagnosed. More alarmingly so, the International Diabetes Federation (IDF) estimates that 415 million people have diabetes today – a figure that could rise to 642 million by 2040. Can data hold the answer for reversing this trend?
This simple question is being tackled at the “Datathon for Diabetes,” a data crunching event hosted at MIT on April 29-30. The goal is for students and recent graduates in the Boston area to spend close to 24 hours diving into publicly available datasets to identify trends and uncover novel findings that work towards addressing the diabetes challenge. The diabetes pandemic is an interesting challenge to tackle through data analysis as diabetes itself is to a large part a data-driven disease. Key statistics like blood glucose levels, carbohydrate consumption, and insulin injections permeate the day of patients living with diabetes and their families. Further, risk factors including age, race, pregnancy, stress, certain medications, genetics, and high cholesterol all factor into the outcomes of a person living with diabetes. The application of advanced data analysis techniques can hold the key to understanding and working towards addressing this urgent challenge.
In partnership with Novo Nordisk, IBM, Deloitte, and the MIT Analytics Club, the “Datathon for Diabetes” is open to all students and recent graduates (1-2 years since graduation) currently in the Boston area. Current and former HBS students are welcome to register, either individually or in teams of up to four participants. Those who register individually will be organised into small groups during the event kick-off on 29 April at 5 pm at MIT. The event will wrap up on in the evening of 30 April, with various prizes being awarded to teams based on criteria such as most innovative data analysis technique and best analysis or visualization of diabetes trends.
With the Datathon for Diabetes taking place in just under three weeks, registration for participating in the event is well underway. To learn more, visit https://datathonfordiabetes.wordpress.com/ or reach out to firstname.lastname@example.org if you have any questions. The registration deadline is on 25 April, so be sure to sign up before then.
Datathon for Diabetes is a Harbus Official Partner
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