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Clinical Online PTSD and TBI Analysis for Decision Support (COPTADS)

Award Information
Agency: Department of Defense
Branch: Defense Health Agency
Contract: W81XWH-13-C-0030
Agency Tracking Number: H122-005-0275
Amount: $149,978.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DHP12-005
Solicitation Number: 2012.2
Timeline
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-01-23
Award End Date (Contract End Date): 2013-09-04
Small Business Information
6017 Southport Drive
Bethesda, MD -
United States
DUNS: 793779237
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Vadim Kagan
 President
 (240) 498-5285
 kagan@sentimetrix.com
Business Contact
 Vadim Kagan
Title: President
Phone: (240) 498-5285
Email: kagan@sentimetrix.com
Research Institution
 Stub
Abstract

Epidemiological estimates indicate that at least 20 percent of the forces deployed in or returning from the Iraq and Afghanistan wars suffer PTSD or major depression. The number of veterans receiving mental health care has increased from 900,000 to 1.2 million in the past four years. Last year over 400,000 were diagnosed with PTSD, and studies indicate that not all cases of PTSD, depression, and contemplations of suicide are identified using post-deployment mental health assessments. In order to ensure effective and timely treatment, we propose to develop the Clinical Online PTSD and TBI Analysis for Decision Support (COPTADS) system featuring: & #8226; Highly Accurate Detection of Symptoms within a diversity of natural language based medical records & #8226; Highly Accurate Classification of Patients as very likely to have PTSD/TBI (or not) & #8226; Compelling Explanations of why certain patients are believed to have PTSD or TBI & #8226; Mobile Access so that doctors anywhere can get COPTADS assessments on a 24/7 basis & #8226; Scalability to ensure real-time processing of millions of medical records The SentiMetrix team has worked extensively on the analysis of natural language documents in order to predict whether subjects of blogs have either PTSD or TBI with 80% accuracy

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

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