Every day, work-related injury records are generated. In order to alleviate the human effort expended with coding such records, the Centers for Disease Control and Prevention National Institute for Occupational Safety and Health, in close partnership with the Laboratory for Innovation Science at Harvard, is interested in improving their NLP/ML model to automatically read injury records and classify them according to the Occupational Injury and Illness Classification System. Participants are asked to build a model based on the given training data. The model will need to make predictions for a test file.
Partner Organizations: Centers for Disease Control and Prevention, Laboratory for Innovation Science at Harvard
Award: 1st Place – $10,000; 2nd Place – $7,000; 3rd Place – $5,000; 4th Place – $2,000; 5th Place – $1,000
Open Date: October 17, 2019
Close Date: November 21, 2019
For more information, visit https://www.topcoder.com/challenges/30103825