Student Data Challenge

Disrupting Healthcare through Machine Learning


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What: Artificial Intelligence and Machine Learning applications are reshaping the healthcare industry -- what if this transformation meant more affordable healthcare for every patient? This is why the ComputeFest Data Challenge is coming back this year with a new contest!  


Fraudulent claims totaling billions of dollars have been widely reported in the news [1,2]. Although these fraudulent claims constitute only a small fraction of the overall claims, they carry a very high price tag. In fact, the resulting rise in healthcare costs represents the difference between making healthcare accessible for millions of Americans or not. You will be provided with healthcare insurance claims data and asked to identify the fraudulent claims. Will you be able to detect them?

 

Who: Harvard undergraduates and graduate students up to the G2 level are eligible to participate. Students may form and register self-selected teams of 2-3 players or sign up as individuals to be matched with other players on a team.

 

When: Kick-off meeting: Thursday, January 18: 6:00 - 8:00pm

Challenge: Friday, January 19: 9:30am - 6:00pm

 

Where: Pierce Hall, Room 301, 29 Oxford Street

 

Why: Students play for fun, pride and prizes! All members of the winning team will win a parrot minidrone! The winners will be announced during the first week of classes.


Questions? Email Maroun Belhaj at marouan_belhaj@g.harvard.edu

 

Challenge organizers:

Pavlos Protopapas, IACS Scientific Program Director and Lecturer

Kevin Rader, Senior Preceptor in Statistics

Sheila Coveney, IACS Program Manager

Marouan Belhaj, IACS Visiting Researcher

 

References:

[1] - https://w ww.nytimes.com/2017/07/13/us/politics/health-care-fraud.html

[2] - https://www.nytimes.com/2017/05/19/business/dealbook/unitedhealth-sued-medicare-overbilling.html