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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: H2-0025
Amount: $720,522.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: DHP12-005
Solicitation Number: 2012.2
Timeline
Solicitation Year: 2013
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-06-18
Award End Date (Contract End Date): 2016-11-19
Small Business Information
6017 Southport Drive
Bethesda, MD 20814
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
N/A
Abstract

It is estimated that 20 percent of returning forces from the Iraq and Afghanistan wars are afflicted with PTSD or major depression. In the last year alone, over 400,000 military veterans have been diagnosed with PTSD. Among troops still in the military, experts estimate that one in five has experienced acute stress, anxiety, depression, or other mental health issues as a result of war-zone deployment. Recent studies indicate that not all cases of PTSD, depression, and contemplations of suicide are identified using mental health assessments given to soldiers following deployment.Building on its extensive pre-existing natural language processing and text analytics portfolio, Sentimetrix has developed the COPTADS (Clinical Online PTSD and TBI Analysis and Decision System) to automatically analyze the content of text documents for signals of PTSD or TBI. In Phase I, multiple scoring algorithms were developed trained and tested, demonstrating accuracy approaching that of human experts.In Phase II, we plan to further improve the COPTADS system, significantly improving its accuracy and scalability.Significant functionality enhancements will allow users (clinicians) to execute temporal queries and monitor trends of individual patients and patient groups, as well as observe their responses to various therapies.

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

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