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Ensemble Prediction for Intelligent Combat Casualty Care (EPIC3)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-18-C-0008
Agency Tracking Number: A2-6785
Amount: $999,896.72
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A16-054
Solicitation Number: 16.1
Solicitation Year: 2016
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-03-28
Award End Date (Contract End Date): 2021-01-27
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Max Metzger
 Software Engineer
 (617) 491-3474
Business Contact
 Yvonne Fuller
Phone: (617) 491-3474
Research Institution

Tactical Combat Casualty Care (TC3) is the difference between life and death following injury on the battlefield. First responders, combat medics, and casualty evacuation medics perform vital TC3 roles, but are often overburdened by multiple casualties and overwhelmed by an excess of sensor data that can be difficult to interpret in stressful and chaotic environments. Additionally, injuries can be difficult to identify when symptoms are not obvious and treatment can be difficult to perform, depending on the skill of the performer. To address these challenges, we propose to develop a prototype Ensemble Prediction for Intelligent Combat Casualty Care (EPIC3), a mobile application that uses an ensemble of classifiers, frequently tuned via machine learning, to predict life-threatening and difficult-to-detect injuries. EPIC3 presents the steps to treat those injuries through a simple, easy-to-use interface that tailors itself to the needs and skill level of the user.

* Information listed above is at the time of submission. *

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